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Python Notebook Download

Installation of alphaMELTS for Python

Please download this notebook (use the links above to find the source file) and run the following installation script as a notebook.

Step 0 - Only use if you’ve previously installed alphaMELTS for Python via PetThermoTools. Alternatively go straight to Step 1.

To update alphaMELTS for Python installation run the update function below.

Please join and keep an eye on the alphaMELTS Discord Server where we will post information about updates to the alphaMELTS for Python source code and which versions have been tested with PetThermoTools. Following updates we will indicate if later versions of PetThermoTools require users to update their alphaMELTS for Python installation. using the function below.

# import petthermotools as ptt
# ptt.update_alphaMELTS_path()

# from meltsdynamic import MELTSdynamic
# meltstest = MELTSdynamic(1)
# meltstest.version

Step 1 - Install Python

This may seem obvious, but the first step is to obtain Python3 (tested on v3.9 through 3.13). If you haven’t used python before, we recommend installing it through anaconda.

anaconda3 “https://www.anaconda.com/products/individual”.

Step 2 - Pip install PetThermoTools and it’s dependencies

#### If you already have ptt installed upgrade the installation instead ####

%pip install petthermotools
# %pip install --upgrade petthermotools

Step 3 - Installing alphaMELTS for Python.

Read carefully, instructions might vary based on operating system

If using MacOS with native M1 (or later) chip

Before proceeding please you need to install GSL with Homebrew.

• Open the terminal

• Copy and past the install command from https://brew.sh into the terminal

• Follow the installation instructions as they appear

• Once it has finished type “brew install gsl”

If any issues arise with this step - or if you have any issues with any of the steps below - please contact me at gleesonm@berkeley.edu

Once GSL has been installed (or if you’re using a Windows OS) you can continue onto the script below.

This code will download the latest compatible version of alphaMELTS for Python and – if you have administrative privaledges on your computer – add these files to the Python path. If you don’t have administrative privaledges the code will print instructions of how to add the files to your Python path at the start of every new notebook.

### First import petthermotools and check the version. As of December 19th 2025 this should be v0.3.2 or later
import petthermotools as ptt
ptt.__version__

alphaMELTS for Python files are not on the python path.
 Please add these files to the path running
 import sys
 sys.path.append(r"insert_your_path_to_melts_here")
 You are looking for the location of the meltsdynamic.py file

'0.3.2'

### Use the ptt.install_alphaMELTS() function to download the alphaMELTS for Python files and add them to your Python path
ptt.install_alphaMELTS()

### If you want to download the alphaMELTS files to a certain folder on your machine you can instead use this function below
# ptt.install_alphaMELTS(file_location="/Users/gleesonm/Library/CloudStorage/GoogleDrive-matthew.gleeson.geo@gmail.com/My Drive/!!!Berkeley/2024/MELTS/")

Downloading alphaMELTS from: https://github.com/magmasource/alphaMELTS/releases/download/v2.3.1/alphamelts-py-2.3.1-macos-arm64.zip...
Extracting to: /Users/gleesonm/Library/CloudStorage/GoogleDrive-gleesonm@berkeley.edu/My Drive/2022/GitHub/PetThermoTools/docs/Installation/alphamelts_py-2.3.1...
Path permanently added via: /Users/gleesonm/anaconda3/lib/python3.11/site-packages/my_MELTS_path.pth

To check that the download and extract proceeded without issue run the code below.

This should print a message with current alphaMELTS verions (2.3.1) if there are no issues.

from meltsdynamic import MELTSdynamic
meltstest = MELTSdynamic(1)
meltstest.version

alphaMELTS for Python version 2.3.1beta (Aug  3 2024 10:01:38)
Setting calculation mode to rhyolite-MELTS 1.0.2

'2.3.1beta (Aug  3 2024 10:01:38)'

Step 4 - Test installation

I recommend restarting the Python Kernel and then running the two cells below.

This will run a simple fractional crystallization calculation if everything is installed correctly.

If you’re on MacOS it will print all the outputs from the MELTS calculations (this can be a lot). Scroll to the bottom and you should see a table of liquid compositions if the calcualtions run correctly.

import petthermotools as ptt

# This will run a simple crystallization calculation to test the installation process has worked correctly.
ptt.test_alphaMELTS()

Running MELTSv1.0.2 calculation...
alphaMELTS for Python version 2.3.1beta (Aug  3 2024 10:01:38)
Setting calculation mode to rhyolite-MELTS 1.0.2

...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.

Processed line... suppress: rutile Processed line... suppress: tridymite ...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57154e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.67265e+06, step =       1.99998
...-->Solving quadratic minimization Iter: 2.
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...-->Linear search: Min =  -1.67265e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 3.
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...-->Solving quadratic minimization Iter: 27.
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...-->Solving quadratic minimization Iter: 29.
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...-->Linear search: Iteration exceeded - aborting.
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...-->Solving quadratic minimization Iter: 30.
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...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
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...-->Solving quadratic minimization Iter: 32.
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...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
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...-->Solving quadratic minimization Iter: 36.
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...-->Solving quadratic minimization Iter: 37.
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...-->Linear search: Iteration exceeded - aborting.
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...-->Solving quadratic minimization Iter: 38.
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...-->Solving quadratic minimization Iter: 40.
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...-->Solving quadratic minimization Iter: 43.
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...-->Solving quadratic minimization Iter: 44.
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...-->Solving quadratic minimization Iter: 46.
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...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.65889, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 70.
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...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
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...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
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...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.65889, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.37154e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.65889, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.66154, sNorm =      0.510644
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...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.37154e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37424e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.37154e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.37154e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.37154e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37424e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.37154e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.37154e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.65889, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 2 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01393e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50418e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51253e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06128e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65515e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28963e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8689e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67179e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96067e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6718e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88201e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.67182e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.67187e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99381e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.67204e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.67253e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719443, sNorm =      0.510644
...-->Linear search: Min =  -1.67401e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215833, sNorm =      0.510644
...-->Linear search: Min =  -1.67846e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647498, sNorm =      0.510644
...-->Linear search: Min =   -1.6918e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =      0.019425, sNorm =      0.510644
...-->Linear search: Min =  -1.73179e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582749, sNorm =      0.510644
...-->Linear search: Min =  -1.85163e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174825, sNorm =      0.510644
...-->Linear search: Min =  -2.21035e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524474, sNorm =      0.510644
...-->Linear search: Min =  -3.28276e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.37056e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65952, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =    -0.0012185
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37262e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36992e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86877e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.67093e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88189e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.67095e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.67101e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.67117e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.67167e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.67315e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.67759e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.69092e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =   -1.7309e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =  -1.85069e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.20925e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =  -3.28118e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.36893e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =  -3.37101e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.36831e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00160827
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.37102e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36833e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51282e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06154e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67006e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86953e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.67007e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96086e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.67007e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88258e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.67009e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.67015e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99432e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.67031e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =   -1.6708e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719489, sNorm =      0.510644
...-->Linear search: Min =  -1.67228e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.67673e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064754, sNorm =      0.510644
...-->Linear search: Min =  -1.69005e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.73001e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582786, sNorm =      0.510644
...-->Linear search: Min =  -1.84976e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.20819e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524507, sNorm =      0.510644
...-->Linear search: Min =  -3.27973e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.36746e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00115652
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36941e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36672e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51248e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06123e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86878e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6692e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66921e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8819e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66923e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66928e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99371e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66945e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.66994e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719434, sNorm =      0.510644
...-->Linear search: Min =  -1.67142e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.67586e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647491, sNorm =      0.510644
...-->Linear search: Min =  -1.68918e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =  -1.72912e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =   -1.8488e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.20705e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =  -3.27805e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.36573e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =   -3.3678e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =   -3.3651e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00160731
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36782e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36512e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66155, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86877e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66834e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66835e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88189e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66837e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66842e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66859e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.66908e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.67056e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =    -1.675e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.68831e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =  -1.72823e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =  -1.84786e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.20595e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =  -3.27648e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.36413e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =   -3.3662e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =   -3.3635e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00160683
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36621e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36352e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67143e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01428e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51285e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06156e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21847e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6554e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28986e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66748e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96088e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66749e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88263e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66751e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66479e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66756e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99437e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66773e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239831, sNorm =      0.510644
...-->Linear search: Min =  -1.66822e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719493, sNorm =      0.510644
...-->Linear search: Min =   -1.6697e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215848, sNorm =      0.510644
...-->Linear search: Min =  -1.67414e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647544, sNorm =      0.510644
...-->Linear search: Min =  -1.68744e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194263, sNorm =      0.510644
...-->Linear search: Min =  -1.72735e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582789, sNorm =      0.510644
...-->Linear search: Min =  -1.84694e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174837, sNorm =      0.510644
...-->Linear search: Min =   -2.2049e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =       0.52451, sNorm =      0.510644
...-->Linear search: Min =  -3.27505e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =  -3.36267e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00115269
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159806
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159806
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159793
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159788
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.36192e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36461e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66155, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86881e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66662e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66663e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66665e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =   -1.6667e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66687e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.66736e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.66884e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.67327e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.68657e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.72646e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.84599e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.20376e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =  -3.27337e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =  -3.36094e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =    -3.363e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.36031e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00160256
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36301e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.36032e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06155e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66576e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86956e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66577e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66577e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66579e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66585e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66601e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =   -1.6665e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719491, sNorm =      0.510644
...-->Linear search: Min =  -1.66798e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.67241e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647542, sNorm =      0.510644
...-->Linear search: Min =  -1.68571e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.72558e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582787, sNorm =      0.510644
...-->Linear search: Min =  -1.84506e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =   -2.2027e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524509, sNorm =      0.510644
...-->Linear search: Min =  -3.27193e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =  -3.35947e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00115269
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =    -0.0015988
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.36141e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35872e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51248e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06123e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66491e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66493e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66499e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66515e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.66564e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719435, sNorm =      0.510644
...-->Linear search: Min =  -1.66712e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.67155e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.68484e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.72469e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.84411e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.20157e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524468, sNorm =      0.510644
...-->Linear search: Min =  -3.27025e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.35774e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.35981e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.35712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00160394
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35982e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35713e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01392e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50417e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51252e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06126e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65514e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28962e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86887e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66405e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96066e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66406e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88198e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66408e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66413e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99379e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66429e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.66479e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719441, sNorm =      0.510644
...-->Linear search: Min =  -1.66626e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215832, sNorm =      0.510644
...-->Linear search: Min =  -1.67069e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647497, sNorm =      0.510644
...-->Linear search: Min =  -1.68397e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =  -1.72381e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582747, sNorm =      0.510644
...-->Linear search: Min =  -1.84318e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =  -2.20048e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524472, sNorm =      0.510644
...-->Linear search: Min =   -3.2687e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.35616e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65951, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00122033
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159944
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35822e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35553e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01393e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50418e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51253e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06127e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65515e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28963e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66319e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8689e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6632e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96067e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6632e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88201e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66322e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66327e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99381e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66344e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.66393e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719442, sNorm =      0.510644
...-->Linear search: Min =  -1.66541e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215833, sNorm =      0.510644
...-->Linear search: Min =  -1.66983e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647498, sNorm =      0.510644
...-->Linear search: Min =  -1.68311e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =  -1.72293e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582748, sNorm =      0.510644
...-->Linear search: Min =  -1.84224e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =  -2.19939e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524473, sNorm =      0.510644
...-->Linear search: Min =  -3.26715e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.35458e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65952, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00121898
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35663e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06123e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66234e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66235e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66237e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66242e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66258e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.66308e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719435, sNorm =      0.510644
...-->Linear search: Min =  -1.66455e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.66897e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.68225e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.72204e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.84131e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.19829e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524468, sNorm =      0.510644
...-->Linear search: Min =  -3.26559e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.35297e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.35503e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.35234e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00160394
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35235e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159792
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35504e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35236e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51284e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06155e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66148e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86956e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66149e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66149e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88261e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66151e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66157e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99435e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66173e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =  -1.66222e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719491, sNorm =      0.510644
...-->Linear search: Min =   -1.6637e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.66812e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647542, sNorm =      0.510644
...-->Linear search: Min =  -1.68138e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194263, sNorm =      0.510644
...-->Linear search: Min =  -1.72117e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582788, sNorm =      0.510644
...-->Linear search: Min =  -1.84039e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.19725e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524509, sNorm =      0.510644
...-->Linear search: Min =  -3.26416e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =  -3.35151e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =    -0.0011522
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.35076e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35345e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01393e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50418e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51254e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06128e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65515e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28963e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8689e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.66063e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96067e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66064e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88201e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.66066e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66071e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99381e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66088e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.66137e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719443, sNorm =      0.510644
...-->Linear search: Min =  -1.66284e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215833, sNorm =      0.510644
...-->Linear search: Min =  -1.66726e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647499, sNorm =      0.510644
...-->Linear search: Min =  -1.68052e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =      0.019425, sNorm =      0.510644
...-->Linear search: Min =  -1.72028e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582749, sNorm =      0.510644
...-->Linear search: Min =  -1.83944e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174825, sNorm =      0.510644
...-->Linear search: Min =  -2.19612e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524474, sNorm =      0.510644
...-->Linear search: Min =   -3.2625e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.34981e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65952, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00121754
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34917e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35186e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86877e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65978e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65979e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88189e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6598e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65986e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.66002e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.66051e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.66199e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.66641e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.67966e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =   -1.7194e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =  -1.83851e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.19503e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =  -3.26093e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =   -3.3482e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =  -3.35026e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.34758e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00160827
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.35028e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3476e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01392e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50417e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51252e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06126e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65514e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28962e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86887e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96066e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65893e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88198e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65895e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66459e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65901e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99378e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65917e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239813, sNorm =      0.510644
...-->Linear search: Min =  -1.65966e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =    0.00071944, sNorm =      0.510644
...-->Linear search: Min =  -1.66113e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215832, sNorm =      0.510644
...-->Linear search: Min =  -1.66555e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647496, sNorm =      0.510644
...-->Linear search: Min =   -1.6788e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =  -1.71853e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582747, sNorm =      0.510644
...-->Linear search: Min =  -1.83758e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =  -2.19395e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524472, sNorm =      0.510644
...-->Linear search: Min =   -3.2594e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.34664e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65951, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00122281
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159787
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34869e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34601e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65807e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65807e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65807e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65807e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65807e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65807e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65807e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65807e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65808e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65808e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65808e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65808e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65808e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6581e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65816e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65832e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.65881e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.66028e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =   -1.6647e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.67794e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.71765e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.83665e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.19286e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =  -3.25785e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =  -3.34504e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =   -3.3471e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.34442e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00160328
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159804
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34443e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34711e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06154e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65722e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65723e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65723e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86955e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65723e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65723e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65725e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65731e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65747e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =  -1.65796e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =    0.00071949, sNorm =      0.510644
...-->Linear search: Min =  -1.65943e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.66384e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647541, sNorm =      0.510644
...-->Linear search: Min =  -1.67708e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.71678e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582787, sNorm =      0.510644
...-->Linear search: Min =  -1.83573e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.19181e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524508, sNorm =      0.510644
...-->Linear search: Min =  -3.25642e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =  -3.34359e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00115417
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34552e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34284e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86876e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65638e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88188e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6564e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65646e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65662e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.65711e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.65858e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.66299e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647489, sNorm =      0.510644
...-->Linear search: Min =  -1.67622e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =   -1.7159e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =      0.058274, sNorm =      0.510644
...-->Linear search: Min =  -1.83479e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.19069e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524466, sNorm =      0.510644
...-->Linear search: Min =  -3.25475e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.34187e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =  -3.34393e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.34125e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00160859
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159802
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34395e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.34127e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65512e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86881e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65553e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65554e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88193e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65555e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65561e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99374e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65577e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.65626e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.65773e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.66214e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647493, sNorm =      0.510644
...-->Linear search: Min =  -1.67536e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.71502e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.83386e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.18961e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =  -3.25322e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =   -3.3403e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.34236e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33968e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00160202
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34237e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33969e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51282e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35384e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06153e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86952e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65468e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96086e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65469e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88257e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65471e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65476e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99431e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65492e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239829, sNorm =      0.510644
...-->Linear search: Min =  -1.65541e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719488, sNorm =      0.510644
...-->Linear search: Min =  -1.65688e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215846, sNorm =      0.510644
...-->Linear search: Min =  -1.66129e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647539, sNorm =      0.510644
...-->Linear search: Min =  -1.67451e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.71415e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582785, sNorm =      0.510644
...-->Linear search: Min =  -1.83295e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.18856e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524507, sNorm =      0.510644
...-->Linear search: Min =   -3.2518e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.33885e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115796
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.34079e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33811e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06123e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65383e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65384e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65384e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65386e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65391e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65408e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.65457e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719435, sNorm =      0.510644
...-->Linear search: Min =  -1.65604e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.66044e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.67365e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.71327e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.83201e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.18744e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524468, sNorm =      0.510644
...-->Linear search: Min =  -3.25014e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.33715e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =   -3.3392e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.33653e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00160394
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159792
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33921e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33654e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51282e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35384e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06153e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86952e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65299e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96086e-06, sNorm =      0.510644
...-->Linear search: Min =    -1.653e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88257e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65301e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65307e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99431e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65323e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239829, sNorm =      0.510644
...-->Linear search: Min =  -1.65372e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719488, sNorm =      0.510644
...-->Linear search: Min =  -1.65519e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215846, sNorm =      0.510644
...-->Linear search: Min =  -1.65959e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647539, sNorm =      0.510644
...-->Linear search: Min =   -1.6728e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.71241e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582785, sNorm =      0.510644
...-->Linear search: Min =   -1.8311e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =   -2.1864e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524507, sNorm =      0.510644
...-->Linear search: Min =  -3.24872e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =   -3.3357e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115796
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33764e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33497e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =      -1.99979

...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.

...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01394e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50418e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51254e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06128e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65515e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09655e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28964e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65214e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86891e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65215e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96067e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65215e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88202e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65217e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66461e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65222e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99382e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65239e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239815, sNorm =      0.510644
...-->Linear search: Min =  -1.65288e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719444, sNorm =      0.510644
...-->Linear search: Min =  -1.65434e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215833, sNorm =      0.510644
...-->Linear search: Min =  -1.65874e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647499, sNorm =      0.510644
...-->Linear search: Min =  -1.67194e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =      0.019425, sNorm =      0.510644
...-->Linear search: Min =  -1.71153e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582749, sNorm =      0.510644
...-->Linear search: Min =  -1.83017e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174825, sNorm =      0.510644
...-->Linear search: Min =  -2.18529e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524474, sNorm =      0.510644
...-->Linear search: Min =  -3.24709e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.33403e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65952, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00121759
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33339e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33606e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06154e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86955e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6513e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65131e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65133e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65138e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65154e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =  -1.65203e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =    0.00071949, sNorm =      0.510644
...-->Linear search: Min =   -1.6535e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =   -1.6579e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647541, sNorm =      0.510644
...-->Linear search: Min =  -1.67109e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.71067e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582787, sNorm =      0.510644
...-->Linear search: Min =  -1.82926e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.18425e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524508, sNorm =      0.510644
...-->Linear search: Min =  -3.24566e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.33256e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00115417
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33449e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33182e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65045e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65046e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86877e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.65046e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65046e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88189e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.65048e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.65054e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =   -1.6507e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.65119e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.65265e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.65705e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.67024e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =  -1.70979e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =  -1.82832e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.18313e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =    -3.244e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.33086e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =  -3.33291e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.33024e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00160833
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.33293e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.33026e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67143e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06155e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64961e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86956e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64962e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64962e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64964e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64969e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64986e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =  -1.65034e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719491, sNorm =      0.510644
...-->Linear search: Min =  -1.65181e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.65621e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647542, sNorm =      0.510644
...-->Linear search: Min =  -1.66939e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.70893e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582787, sNorm =      0.510644
...-->Linear search: Min =  -1.82741e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =   -2.1821e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524509, sNorm =      0.510644
...-->Linear search: Min =   -3.2426e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =  -3.32943e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115796
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.33136e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.32869e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66155, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06155e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86956e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64877e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64878e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6488e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64885e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64901e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =   -1.6495e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719491, sNorm =      0.510644
...-->Linear search: Min =  -1.65097e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.65536e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647542, sNorm =      0.510644
...-->Linear search: Min =  -1.66854e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.70806e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582787, sNorm =      0.510644
...-->Linear search: Min =   -1.8265e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.18103e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524509, sNorm =      0.510644
...-->Linear search: Min =  -3.24107e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =  -3.32786e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00115269
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =    -0.0015988
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32979e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32712e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51282e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06153e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86953e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64793e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96086e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64794e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88257e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64796e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64801e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99432e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64817e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239829, sNorm =      0.510644
...-->Linear search: Min =  -1.64866e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719488, sNorm =      0.510644
...-->Linear search: Min =  -1.65013e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.65452e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064754, sNorm =      0.510644
...-->Linear search: Min =  -1.66769e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.70719e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582786, sNorm =      0.510644
...-->Linear search: Min =  -1.82558e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.17995e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524507, sNorm =      0.510644
...-->Linear search: Min =  -3.23954e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.32629e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00115705
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32823e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32556e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01393e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50418e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51253e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06127e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65515e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28963e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8689e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64709e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96067e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6471e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88201e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64712e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64717e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99381e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64733e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.64782e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719442, sNorm =      0.510644
...-->Linear search: Min =  -1.64928e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215833, sNorm =      0.510644
...-->Linear search: Min =  -1.65367e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647498, sNorm =      0.510644
...-->Linear search: Min =  -1.66684e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =  -1.70632e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582748, sNorm =      0.510644
...-->Linear search: Min =  -1.82465e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =  -2.17885e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524473, sNorm =      0.510644
...-->Linear search: Min =  -3.23791e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.32462e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65952, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00121898
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32666e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32399e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06154e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86955e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64625e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64626e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64628e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64633e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64649e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =  -1.64698e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =    0.00071949, sNorm =      0.510644
...-->Linear search: Min =  -1.64844e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.65283e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647541, sNorm =      0.510644
...-->Linear search: Min =  -1.66599e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.70546e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582787, sNorm =      0.510644
...-->Linear search: Min =  -1.82374e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.17781e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524508, sNorm =      0.510644
...-->Linear search: Min =  -3.23649e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.32317e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115412
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3251e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32244e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06123e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64541e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64542e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64542e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64544e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64549e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64566e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.64614e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719435, sNorm =      0.510644
...-->Linear search: Min =  -1.64761e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.65199e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.66515e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.70459e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.82281e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =   -2.1767e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524468, sNorm =      0.510644
...-->Linear search: Min =  -3.23485e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.32149e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.32353e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.32087e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00160394
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159792
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.32088e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51282e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35384e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06153e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86952e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96086e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64458e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88257e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6446e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64466e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99431e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64482e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239829, sNorm =      0.510644
...-->Linear search: Min =  -1.64531e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719488, sNorm =      0.510644
...-->Linear search: Min =  -1.64677e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215846, sNorm =      0.510644
...-->Linear search: Min =  -1.65115e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647539, sNorm =      0.510644
...-->Linear search: Min =   -1.6643e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.70373e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582785, sNorm =      0.510644
...-->Linear search: Min =  -1.82191e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.17567e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524507, sNorm =      0.510644
...-->Linear search: Min =  -3.23344e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.32005e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115796
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32198e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31932e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86877e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64374e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64375e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88189e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64377e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64382e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64398e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.64447e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.64593e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.65031e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.66345e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =  -1.70287e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =  -1.82098e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.17457e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =   -3.2318e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.31837e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =  -3.32041e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.31775e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00160779
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.32043e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31777e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51282e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35384e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06153e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6429e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86952e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64291e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96086e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64291e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88257e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64293e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64298e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99431e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64315e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239829, sNorm =      0.510644
...-->Linear search: Min =  -1.64363e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719488, sNorm =      0.510644
...-->Linear search: Min =  -1.64509e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215846, sNorm =      0.510644
...-->Linear search: Min =  -1.64947e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647539, sNorm =      0.510644
...-->Linear search: Min =  -1.66261e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.70201e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582785, sNorm =      0.510644
...-->Linear search: Min =  -1.82008e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.17354e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524507, sNorm =      0.510644
...-->Linear search: Min =  -3.23041e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.31694e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115834
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31887e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31621e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06155e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86956e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64207e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64208e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6421e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64215e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64231e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =   -1.6428e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719491, sNorm =      0.510644
...-->Linear search: Min =  -1.64426e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.64864e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647542, sNorm =      0.510644
...-->Linear search: Min =  -1.66177e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194263, sNorm =      0.510644
...-->Linear search: Min =  -1.70115e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582788, sNorm =      0.510644
...-->Linear search: Min =  -1.81917e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.17248e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524509, sNorm =      0.510644
...-->Linear search: Min =   -3.2289e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =   -3.3154e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115268
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531

...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.

...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31731e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31466e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01393e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50418e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51253e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06127e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65515e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64123e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28963e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64124e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8689e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.64124e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96067e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64124e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88201e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64126e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64132e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99381e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64148e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.64196e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719442, sNorm =      0.510644
...-->Linear search: Min =  -1.64342e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215833, sNorm =      0.510644
...-->Linear search: Min =   -1.6478e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647498, sNorm =      0.510644
...-->Linear search: Min =  -1.66092e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =  -1.70029e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582748, sNorm =      0.510644
...-->Linear search: Min =  -1.81825e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =  -2.17138e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524473, sNorm =      0.510644
...-->Linear search: Min =  -3.22727e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.31373e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65952, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00121898
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31576e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.3131e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6404e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64041e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.64043e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64048e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.64064e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.64113e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.64259e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.64696e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.66008e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.69943e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.81734e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.17031e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =  -3.22575e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =  -3.31217e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.31421e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.31155e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00160328
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159804
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31156e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31422e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06123e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63957e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63958e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6396e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63965e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63981e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =   -1.6403e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719435, sNorm =      0.510644
...-->Linear search: Min =  -1.64176e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.64613e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.65924e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.69857e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.81643e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.16925e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524468, sNorm =      0.510644
...-->Linear search: Min =  -3.22423e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.31062e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.31266e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =     -3.31e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00160394
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159792
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31267e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.31001e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63874e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63875e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63876e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63882e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63898e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.63947e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.64092e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.64529e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =   -1.6584e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.69771e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.81552e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.16819e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =  -3.22273e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =  -3.30907e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.31111e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.30846e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00160328
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159804
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30847e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.31112e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86877e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63791e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63792e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88189e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63793e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63799e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63815e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.63864e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.64009e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.64446e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.65756e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =  -1.69686e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =  -1.81461e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.16713e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =  -3.22121e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.30752e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =  -3.30956e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.30691e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00160779
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30958e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30692e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51248e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06123e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86878e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63708e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63709e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8819e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63711e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63716e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99371e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63732e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.63781e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719434, sNorm =      0.510644
...-->Linear search: Min =  -1.63926e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.64363e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.65672e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =    -1.696e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =   -1.8137e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.16607e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =  -3.21971e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.30598e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.30802e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.30536e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00160633
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159788
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30803e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30538e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01393e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50418e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51253e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06128e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65515e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28963e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8689e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63625e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96067e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63626e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88201e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63628e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63633e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99381e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63649e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.63698e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719443, sNorm =      0.510644
...-->Linear search: Min =  -1.63843e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215833, sNorm =      0.510644
...-->Linear search: Min =   -1.6428e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647498, sNorm =      0.510644
...-->Linear search: Min =  -1.65589e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =      0.019425, sNorm =      0.510644
...-->Linear search: Min =  -1.69515e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582749, sNorm =      0.510644
...-->Linear search: Min =   -1.8128e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174825, sNorm =      0.510644
...-->Linear search: Min =  -2.16502e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524474, sNorm =      0.510644
...-->Linear search: Min =  -3.21822e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.30446e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65952, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =    -0.0012185
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30648e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30383e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67143e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06154e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86955e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63542e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63543e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63545e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =   -1.6355e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63566e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =  -1.63615e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =    0.00071949, sNorm =      0.510644
...-->Linear search: Min =   -1.6376e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.64197e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647541, sNorm =      0.510644
...-->Linear search: Min =  -1.65505e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =   -1.6943e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582787, sNorm =      0.510644
...-->Linear search: Min =  -1.81191e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =    -2.164e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524508, sNorm =      0.510644
...-->Linear search: Min =  -3.21682e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.30303e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =    -0.0011585
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.30495e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =   -3.3023e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66155, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01392e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50417e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51252e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06126e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65514e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63459e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6346e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28962e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6346e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86887e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6346e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96066e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6346e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88198e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63462e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63468e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99379e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63484e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.63532e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719441, sNorm =      0.510644
...-->Linear search: Min =  -1.63678e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215832, sNorm =      0.510644
...-->Linear search: Min =  -1.64114e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647497, sNorm =      0.510644
...-->Linear search: Min =  -1.65422e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =  -1.69344e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582747, sNorm =      0.510644
...-->Linear search: Min =  -1.81099e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =   -2.1629e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524472, sNorm =      0.510644
...-->Linear search: Min =  -3.21521e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.30138e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65951, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00122033
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159939
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.30075e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.3034e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63377e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63378e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6338e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63385e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63401e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =   -1.6345e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.63595e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.64031e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.65338e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.69259e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.81009e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.16185e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =   -3.2137e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =  -3.29983e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.30186e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.29921e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00160328
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159804
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786

...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.

...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29922e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30187e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63294e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86881e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63295e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63295e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63297e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63302e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63319e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =  -1.63367e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.63512e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.63948e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.65255e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.69174e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.80919e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.16079e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =   -3.2122e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =  -3.29829e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.29768e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00160247
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159789
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.30033e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29769e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06155e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86956e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63212e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63213e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88261e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63215e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =   -1.6322e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99435e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63236e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =  -1.63285e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719491, sNorm =      0.510644
...-->Linear search: Min =   -1.6343e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.63865e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647542, sNorm =      0.510644
...-->Linear search: Min =  -1.65172e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194263, sNorm =      0.510644
...-->Linear search: Min =  -1.69089e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582788, sNorm =      0.510644
...-->Linear search: Min =   -1.8083e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.15978e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524509, sNorm =      0.510644
...-->Linear search: Min =  -3.21082e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =  -3.29689e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115268
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =   -3.2988e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29615e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01392e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50417e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51252e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06127e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65514e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28963e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86888e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6313e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96066e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63131e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88199e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63132e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63138e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99379e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63154e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.63202e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719441, sNorm =      0.510644
...-->Linear search: Min =  -1.63347e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215832, sNorm =      0.510644
...-->Linear search: Min =  -1.63783e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647497, sNorm =      0.510644
...-->Linear search: Min =  -1.65088e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =  -1.69004e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582747, sNorm =      0.510644
...-->Linear search: Min =  -1.80739e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =   -2.1587e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524472, sNorm =      0.510644
...-->Linear search: Min =  -3.20922e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.29524e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65951, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00122033
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159891
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29726e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29462e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63047e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86881e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.63048e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.63048e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88193e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6305e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63055e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.63072e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =   -1.6312e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.63265e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =    -1.637e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.65005e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.68919e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.80649e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.15764e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =  -3.20771e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =   -3.2937e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =  -3.29573e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.29308e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00160328
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159804
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29309e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29574e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67143e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01428e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51285e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06156e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21847e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6554e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28986e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62965e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62966e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96088e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62966e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88263e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62968e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66479e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62973e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99436e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62989e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239831, sNorm =      0.510644
...-->Linear search: Min =  -1.63038e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719493, sNorm =      0.510644
...-->Linear search: Min =  -1.63183e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215848, sNorm =      0.510644
...-->Linear search: Min =  -1.63618e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647543, sNorm =      0.510644
...-->Linear search: Min =  -1.64922e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194263, sNorm =      0.510644
...-->Linear search: Min =  -1.68835e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582789, sNorm =      0.510644
...-->Linear search: Min =   -1.8056e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174837, sNorm =      0.510644
...-->Linear search: Min =  -2.15664e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =       0.52451, sNorm =      0.510644
...-->Linear search: Min =  -3.20634e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =   -3.2923e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00115417
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Min =  -3.29421e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66155, sNorm =      0.510644
...-->Linear search: Min =  -3.29157e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =        1.6589, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66155, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01392e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50417e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51252e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06126e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65514e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28962e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86887e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62883e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96066e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62884e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88198e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62886e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66459e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62891e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99378e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62907e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239813, sNorm =      0.510644
...-->Linear search: Min =  -1.62956e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =    0.00071944, sNorm =      0.510644
...-->Linear search: Min =  -1.63101e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215832, sNorm =      0.510644
...-->Linear search: Min =  -1.63535e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647496, sNorm =      0.510644
...-->Linear search: Min =  -1.64839e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =   -1.6875e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582747, sNorm =      0.510644
...-->Linear search: Min =   -1.8047e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =  -2.15555e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524472, sNorm =      0.510644
...-->Linear search: Min =  -3.20474e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.29065e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65951, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00122281
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159787
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29268e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.29003e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51282e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35384e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06153e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86952e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62801e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96086e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62802e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88257e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62804e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62809e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99431e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62825e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239829, sNorm =      0.510644
...-->Linear search: Min =  -1.62874e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719488, sNorm =      0.510644
...-->Linear search: Min =  -1.63018e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215846, sNorm =      0.510644
...-->Linear search: Min =  -1.63453e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647539, sNorm =      0.510644
...-->Linear search: Min =  -1.64757e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.68666e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582785, sNorm =      0.510644
...-->Linear search: Min =  -1.80381e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.15454e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524507, sNorm =      0.510644
...-->Linear search: Min =  -3.20335e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.28924e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00115844
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.29115e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28851e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =      -1.99929
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67103e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01308e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50392e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51177e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35353e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06059e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21818e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65453e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09636e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28907e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62719e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86722e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6272e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96017e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6272e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8805e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62722e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66415e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62727e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99245e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62743e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239774, sNorm =      0.510644
...-->Linear search: Min =  -1.62792e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719321, sNorm =      0.510644
...-->Linear search: Min =  -1.62936e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215796, sNorm =      0.510644
...-->Linear search: Min =  -1.63371e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647388, sNorm =      0.510644
...-->Linear search: Min =  -1.64673e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194217, sNorm =      0.510644
...-->Linear search: Min =   -1.6858e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =      0.058265, sNorm =      0.510644
...-->Linear search: Min =  -1.80287e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174795, sNorm =      0.510644
...-->Linear search: Min =  -2.15337e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524385, sNorm =      0.510644
...-->Linear search: Min =   -3.2015e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57315, sNorm =      0.510644
...-->Linear search: Min =  -3.28733e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65923, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =     -0.001392
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28962e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28699e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01388e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51249e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35375e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06124e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65511e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62637e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62638e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2896e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62638e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8688e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62638e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96064e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62638e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88192e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6264e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66458e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62646e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99373e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62662e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239812, sNorm =      0.510644
...-->Linear search: Min =   -1.6271e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719436, sNorm =      0.510644
...-->Linear search: Min =  -1.62855e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215831, sNorm =      0.510644
...-->Linear search: Min =  -1.63289e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647492, sNorm =      0.510644
...-->Linear search: Min =  -1.64591e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194248, sNorm =      0.510644
...-->Linear search: Min =  -1.68496e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582743, sNorm =      0.510644
...-->Linear search: Min =  -1.80201e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174823, sNorm =      0.510644
...-->Linear search: Min =  -2.15241e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524469, sNorm =      0.510644
...-->Linear search: Min =  -3.20027e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57341, sNorm =      0.510644
...-->Linear search: Min =  -3.28607e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =        1.6595, sNorm =      0.510644
...-->Linear search: Min =   -3.2881e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.28546e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00160328
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159804
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28547e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28811e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =      -1.99979
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67131e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01393e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50418e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51253e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35376e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06127e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21838e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65515e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09654e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28963e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =    9.8689e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62556e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96067e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62557e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88201e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62558e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =    2.6646e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62564e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99381e-05, sNorm =      0.510644
...-->Linear search: Min =   -1.6258e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239814, sNorm =      0.510644
...-->Linear search: Min =  -1.62628e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719442, sNorm =      0.510644
...-->Linear search: Min =  -1.62773e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215833, sNorm =      0.510644
...-->Linear search: Min =  -1.63207e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647498, sNorm =      0.510644
...-->Linear search: Min =  -1.64509e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194249, sNorm =      0.510644
...-->Linear search: Min =  -1.68412e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582748, sNorm =      0.510644
...-->Linear search: Min =  -1.80112e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174824, sNorm =      0.510644
...-->Linear search: Min =  -2.15137e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524473, sNorm =      0.510644
...-->Linear search: Min =   -3.1988e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57342, sNorm =      0.510644
...-->Linear search: Min =  -3.28457e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65952, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00121898
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28658e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28394e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86877e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62474e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62475e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88189e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62477e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62482e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62498e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.62546e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.62691e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.63125e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.64426e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =  -1.68328e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =  -1.80022e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.15033e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =  -3.19729e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.28303e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =  -3.28505e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.28241e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00160827
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28507e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28243e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01427e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50428e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51283e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35385e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06155e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65539e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09662e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28985e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86956e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62393e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96087e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62394e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =    8.8826e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62395e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66478e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62401e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99434e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62417e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023983, sNorm =      0.510644
...-->Linear search: Min =  -1.62465e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719491, sNorm =      0.510644
...-->Linear search: Min =  -1.62609e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215847, sNorm =      0.510644
...-->Linear search: Min =  -1.63043e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647542, sNorm =      0.510644
...-->Linear search: Min =  -1.64344e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.68244e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582787, sNorm =      0.510644
...-->Linear search: Min =  -1.79935e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.14933e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524509, sNorm =      0.510644
...-->Linear search: Min =  -3.19594e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57353, sNorm =      0.510644
...-->Linear search: Min =  -3.28164e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65963, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00115269
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =    -0.0015988
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786

...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.

...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28354e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.28091e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51282e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35384e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06153e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86952e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62311e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96086e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62312e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88257e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62314e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62319e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99431e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62335e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239829, sNorm =      0.510644
...-->Linear search: Min =  -1.62383e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719488, sNorm =      0.510644
...-->Linear search: Min =  -1.62528e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215846, sNorm =      0.510644
...-->Linear search: Min =  -1.62961e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647539, sNorm =      0.510644
...-->Linear search: Min =  -1.64262e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =   -1.6816e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582785, sNorm =      0.510644
...-->Linear search: Min =  -1.79846e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174836, sNorm =      0.510644
...-->Linear search: Min =  -2.14829e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524507, sNorm =      0.510644
...-->Linear search: Min =  -3.19445e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.28012e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115796
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28203e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =   -3.2794e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50415e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51246e-10, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06121e-09, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21836e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65509e-08, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28958e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86873e-07, sNorm =      0.510644
...-->Linear search: Min =   -1.6223e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96062e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62231e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88186e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62233e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66456e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62238e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99367e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62254e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =    0.00023981, sNorm =      0.510644
...-->Linear search: Min =  -1.62302e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719431, sNorm =      0.510644
...-->Linear search: Min =  -1.62446e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215829, sNorm =      0.510644
...-->Linear search: Min =   -1.6288e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647488, sNorm =      0.510644
...-->Linear search: Min =  -1.64179e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194246, sNorm =      0.510644
...-->Linear search: Min =  -1.68076e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582739, sNorm =      0.510644
...-->Linear search: Min =  -1.79755e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.14721e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524465, sNorm =      0.510644
...-->Linear search: Min =  -3.19285e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57339, sNorm =      0.510644
...-->Linear search: Min =  -3.27848e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =   -3.2805e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66152, sNorm =      0.510644
...-->Linear search: Min =  -3.27786e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65887, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00161067
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.28052e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27788e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =      -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    1.6713e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01387e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50416e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51247e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35374e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06122e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21837e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    3.6551e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09653e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28959e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86877e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96063e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62149e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88189e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62151e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66457e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62157e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =    7.9937e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62173e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239811, sNorm =      0.510644
...-->Linear search: Min =  -1.62221e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719433, sNorm =      0.510644
...-->Linear search: Min =  -1.62365e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =     0.0021583, sNorm =      0.510644
...-->Linear search: Min =  -1.62798e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =     0.0064749, sNorm =      0.510644
...-->Linear search: Min =  -1.64097e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194247, sNorm =      0.510644
...-->Linear search: Min =  -1.67992e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582741, sNorm =      0.510644
...-->Linear search: Min =  -1.79667e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174822, sNorm =      0.510644
...-->Linear search: Min =  -2.14617e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524467, sNorm =      0.510644
...-->Linear search: Min =  -3.19138e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =        1.5734, sNorm =      0.510644
...-->Linear search: Min =  -3.27697e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65949, sNorm =      0.510644
...-->Linear search: Min =  -3.27899e+06, step =   -0.00122587
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66153, sNorm =      0.510644
...-->Linear search: Min =  -3.27636e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65888, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00160779
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27901e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27637e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   5.57143e-12, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.67142e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =      -1.99999
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.01425e-11, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =            -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.50427e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =            -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   4.51281e-10, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =            -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.35384e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =            -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   4.06153e-09, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =            -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.21846e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =            -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   3.65538e-08, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =            -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   1.09661e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62067e+06, step =            -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =   3.28984e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62068e+06, step =            -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm =   9.86952e-07, sNorm =      0.510644
...-->Linear search: Min =  -1.62068e+06, step =            -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm =   2.96085e-06, sNorm =      0.510644
...-->Linear search: Min =  -1.62068e+06, step =            -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm =   8.88256e-06, sNorm =      0.510644
...-->Linear search: Min =   -1.6207e+06, step =            -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm =   2.66477e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62075e+06, step =            -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm =   7.99431e-05, sNorm =      0.510644
...-->Linear search: Min =  -1.62091e+06, step =            -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm =   0.000239829, sNorm =      0.510644
...-->Linear search: Min =   -1.6214e+06, step =            -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm =   0.000719488, sNorm =      0.510644
...-->Linear search: Min =  -1.62284e+06, step =            -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm =    0.00215846, sNorm =      0.510644
...-->Linear search: Min =  -1.62717e+06, step =            -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm =    0.00647539, sNorm =      0.510644
...-->Linear search: Min =  -1.64015e+06, step =            -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm =     0.0194262, sNorm =      0.510644
...-->Linear search: Min =  -1.67909e+06, step =            -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm =     0.0582785, sNorm =      0.510644
...-->Linear search: Min =  -1.79579e+06, step =            -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm =      0.174835, sNorm =      0.510644
...-->Linear search: Min =  -2.14518e+06, step =            -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm =      0.524506, sNorm =      0.510644
...-->Linear search: Min =  -3.19002e+06, step =            -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm =       1.57352, sNorm =      0.510644
...-->Linear search: Min =  -3.27558e+06, step =    -0.0547182
...-->Solving quadratic minimization Iter: 26.
...-->rNorm =       1.65962, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00115892
...-->Solving quadratic minimization Iter: 27.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min =             0, step =   -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm =       1.66154, sNorm =      0.510644
...-->Linear search: Min =  -3.27486e+06, step =    0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm =       1.65889, sNorm =      0.510644
...-->Linear search: Min =  -3.27749e+06, step =   -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm =       1.66154, sNorm =      0.510644
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.57143e-12).
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase clinopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   0.000392437, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =      0.996475
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   9.47192e-07, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =             1
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   4.22157e-07, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =          1.25
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.05535e-07, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =         0.975
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   2.63868e-09, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   3.76314e-13, sNorm =      0.510348
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    0.00350072, sNorm =      0.512915
...-->Linear search: Min =  -1.62013e+06, step =        0.0625
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =     0.0032835, sNorm =      0.512916
...-->Linear search: Min =  -1.62013e+06, step =       0.03125
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =     0.0031817, sNorm =      0.512916
...-->Linear search: Min =  -1.62013e+06, step =      0.015625
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =    0.00313235, sNorm =      0.512917
...-->Linear search: Min =  -1.62013e+06, step =     0.0078125
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =    0.00310796, sNorm =      0.512917
...-->Linear search: Min =  -1.62013e+06, step =    0.00195312
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =    0.00310192, sNorm =      0.512917
...-->Linear search: Min =  -1.62013e+06, step =   0.000488281
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =    0.00310042, sNorm =      0.512917
...-->Linear search: Min =  -1.62013e+06, step =   0.000244141
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =    0.00309967, sNorm =      0.512917
...-->Linear search: Min =  -1.62013e+06, step =    0.00012207
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =     0.0030993, sNorm =      0.512917
...-->Linear search: Min =  -1.62013e+06, step =   6.10352e-05
...Dropping phase clinopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   6.15838e-16, sNorm =      0.510644
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase clinopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   0.000392437, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =      0.998694
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   1.57617e-07, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =      0.999653
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   4.22229e-07, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =           1.1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   4.22174e-08, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =         0.975
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.05306e-09, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =          1.05
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   4.67451e-11, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =       1.04306
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   1.32572e-12, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =             1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   9.40301e-13, sNorm =      0.510348
...-->Linear search: Min =  -1.61986e+06, step =             1
...-->Linear search: Convergence detected.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   0.000350188, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =      0.991756
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   5.11575e-06, sNorm =      0.510606
...-->Linear search: Min =  -1.61989e+06, step =      0.896646
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   1.46517e-06, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =    1.7778e-09, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   2.80143e-11, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.25199e-11, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =           1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   1.98902e-11, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =             1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.69112e-11, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =           1.1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   2.94497e-11, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =             1
...-->Linear search: Convergence detected.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   0.000350627, sNorm =      0.510861
...-->Linear search: Min =  -1.61992e+06, step =         0.125
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000306784, sNorm =      0.510861
...-->Linear search: Min =  -1.61992e+06, step =       0.03125
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =     0.0002972, sNorm =      0.510861
...-->Linear search: Min =  -1.61992e+06, step =    0.00195312
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   0.000296625, sNorm =      0.510861
...-->Linear search: Min =  -1.61992e+06, step =   0.000488281
...Dropping phase clinopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   6.84882e-16, sNorm =      0.510644
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase clinopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   4.14647e-05, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =        1.0069
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   8.41586e-08, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =             1
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   3.24081e-07, sNorm =      0.510604
...-->Linear search: Min =  -1.61989e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   8.52857e-13, sNorm =      0.510604
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    0.00140235, sNorm =      0.511632
...-->Linear search: Min =     -1.62e+06, step =       0.03125
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =     0.0013584, sNorm =      0.511631
...-->Linear search: Min =     -1.62e+06, step =    0.00390625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =    0.00135311, sNorm =      0.511631
...-->Linear search: Min =     -1.62e+06, step =    0.00195312
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =    0.00135048, sNorm =      0.511631
...-->Linear search: Min =     -1.62e+06, step =   0.000976562
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =    0.00134917, sNorm =      0.511631
...-->Linear search: Min =     -1.62e+06, step =   0.000488281
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =    0.00134851, sNorm =      0.511631
...-->Linear search: Min =     -1.62e+06, step =   0.000244141
...Dropping phase clinopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    5.7925e-16, sNorm =      0.510644
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    5.7925e-16, sNorm =      0.510644
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =   4.03647e-16, sNorm =      0.510644
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase clinopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0170909, sNorm =      0.498297
...-->Linear search: Min =  -1.61858e+06, step =       0.95237
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000292732, sNorm =      0.498692
...-->Linear search: Min =  -1.61858e+06, step =        1.0476
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =    0.00013484, sNorm =      0.498586
...-->Linear search: Min =  -1.61858e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   5.34511e-08, sNorm =      0.498586
...-->Linear search: Min =  -1.61858e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   5.29826e-13, sNorm =      0.498586
...Adding the solid phase plagioclase to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0201516, sNorm =      0.480421
...-->Linear search: Min =  -1.61858e+06, step =      0.963108
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000501661, sNorm =      0.480641
...-->Linear search: Min =  -1.61858e+06, step =       1.04236
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   0.000167014, sNorm =      0.480471
...-->Linear search: Min =  -1.61858e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   6.31403e-08, sNorm =      0.480471
...-->Linear search: Min =  -1.61858e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.14789e-12, sNorm =      0.480471
...-->Linear search: Min =  -1.61858e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =    1.2731e-12, sNorm =      0.480471
...-->Linear search: Min =  -1.61858e+06, step =           1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   9.30687e-13, sNorm =      0.480471
...-->Linear search: Min =  -1.61858e+06, step =             1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   1.02283e-12, sNorm =      0.480471
...-->Linear search: Min =  -1.61858e+06, step =           1.1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   4.13598e-12, sNorm =      0.480471
...-->Linear search: Min =  -1.61858e+06, step =             1
...-->Linear search: Convergence detected.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.037077, sNorm =      0.447479
...-->Linear search: Min =  -1.61723e+06, step =      0.925762
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00138157, sNorm =      0.448699
...-->Linear search: Min =  -1.61723e+06, step =       1.04619
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =    0.00015071, sNorm =      0.448509
...-->Linear search: Min =  -1.61723e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   3.01319e-08, sNorm =      0.448509
...-->Linear search: Min =  -1.61723e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =    6.2371e-13, sNorm =      0.448509
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0343996, sNorm =      0.417939
...-->Linear search: Min =  -1.61589e+06, step =      0.936713
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00127156, sNorm =      0.418816
...-->Linear search: Min =  -1.61589e+06, step =       1.02675
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   6.75235e-05, sNorm =      0.418728
...-->Linear search: Min =  -1.61589e+06, step =      0.999896
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =    9.4266e-09, sNorm =      0.418728
...-->Linear search: Min =  -1.61589e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.07463e-12, sNorm =      0.418728
...-->Linear search: Min =  -1.61589e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   5.42909e-13, sNorm =      0.418728
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0323096, sNorm =        0.3901
...-->Linear search: Min =  -1.61456e+06, step =      0.943579
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00117747, sNorm =      0.390797
...-->Linear search: Min =  -1.61456e+06, step =        1.0169
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   3.67492e-05, sNorm =      0.390749
...-->Linear search: Min =  -1.61456e+06, step =      0.998642
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   4.96761e-08, sNorm =      0.390749
...-->Linear search: Min =  -1.61456e+06, step =         0.975
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.24257e-09, sNorm =      0.390749
...-->Linear search: Min =  -1.61456e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   4.43995e-13, sNorm =      0.390749
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.030599, sNorm =      0.363803
...-->Linear search: Min =  -1.61324e+06, step =      0.947654
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =     0.0010523, sNorm =      0.364439
...-->Linear search: Min =  -1.61324e+06, step =       1.01044
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   2.05826e-05, sNorm =      0.364413
...-->Linear search: Min =  -1.61324e+06, step =       1.00043
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   9.16687e-09, sNorm =      0.364413
...-->Linear search: Min =  -1.61324e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   5.00869e-14, sNorm =      0.364413
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0277356, sNorm =      0.340872
...-->Linear search: Min =  -1.61193e+06, step =    0.00390625
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =     0.0276234, sNorm =      0.340876
...-->Linear search: Min =  -1.61193e+06, step =   0.000488281
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =     0.0276095, sNorm =      0.340876
...-->Linear search: Min =  -1.61193e+06, step =   6.10352e-05
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0289069, sNorm =      0.339112
...-->Linear search: Min =  -1.61193e+06, step =      0.949601
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000874076, sNorm =       0.33977
...-->Linear search: Min =  -1.61193e+06, step =       1.00604
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   1.08913e-05, sNorm =      0.339757
...-->Linear search: Min =  -1.61193e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   2.28202e-10, sNorm =      0.339757
...-->Linear search: Min =  -1.61193e+06, step =           1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   2.31387e-11, sNorm =      0.339757
...-->Linear search: Min =  -1.61193e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   6.43791e-13, sNorm =      0.339757
...-->Linear search: Min =  -1.61193e+06, step =             1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   3.45997e-13, sNorm =      0.339757
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.027742, sNorm =      0.315814
...-->Linear search: Min =  -1.61062e+06, step =      0.945389
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00106684, sNorm =      0.316924
...-->Linear search: Min =  -1.61062e+06, step =      0.708892
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   0.000408892, sNorm =      0.316944
...-->Linear search: Min =  -1.61062e+06, step =      0.510761
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   9.98382e-05, sNorm =      0.316886
...-->Linear search: Min =  -1.61062e+06, step =       1.01494
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.95243e-05, sNorm =      0.316881
...-->Linear search: Min =  -1.61062e+06, step =       1.02614
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   2.80537e-07, sNorm =      0.316881
...-->Linear search: Min =  -1.61062e+06, step =           1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   3.07697e-08, sNorm =      0.316881
...-->Linear search: Min =  -1.61062e+06, step =         0.975
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   8.06629e-10, sNorm =      0.316881
...-->Linear search: Min =  -1.61062e+06, step =           1.1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =    9.5264e-11, sNorm =      0.316881
...-->Linear search: Min =  -1.61062e+06, step =             1
...-->Solving quadratic minimization Iter: 10.
...-->rNorm =   4.01268e-11, sNorm =      0.316881
...-->Linear search: Min =  -1.61062e+06, step =             1
...-->Solving quadratic minimization Iter: 11.
...-->rNorm =    3.2551e-11, sNorm =      0.316881
...-->Linear search: Min =  -1.61062e+06, step =       1.31563
...-->Linear search: Convergence detected.
...One of the solid phases has undergone phase separation.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.227493, sNorm =      0.375663
...-->Linear search: Min =  -1.61062e+06, step =   0.000488281
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.227175, sNorm =      0.375547
...-->Linear search: Min =  -1.61062e+06, step =   0.000244141
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.226985, sNorm =       0.37547
...-->Linear search: Min =  -1.61062e+06, step =   6.10352e-05
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =      0.226932, sNorm =      0.375448
...-->Linear search: Min =  -1.61062e+06, step =   7.62939e-06
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =      0.226929, sNorm =      0.375447
...-->Linear search: Min =  -1.61062e+06, step =    3.8147e-06
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =      0.226927, sNorm =      0.375446
...-->Linear search: Min =  -1.61062e+06, step =   1.90735e-06
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =      0.226927, sNorm =      0.375447
...-->Linear search: Min =  -1.61062e+06, step =   9.53674e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    0.00551805, sNorm =       0.31523
...-->Linear search: Min =  -1.61062e+06, step =      0.873655
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00023466, sNorm =      0.315255
...-->Linear search: Min =  -1.61062e+06, step =        1.1086
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.12215e-05, sNorm =      0.315236
...-->Linear search: Min =  -1.61062e+06, step =       1.00019
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   7.65791e-08, sNorm =      0.315236
...-->Linear search: Min =  -1.61062e+06, step =         0.975
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =    1.9093e-09, sNorm =      0.315236
...-->Linear search: Min =  -1.61062e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   3.20135e-13, sNorm =      0.315236
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.268535, sNorm =      0.382928
...-->Linear search: Min =  -1.60933e+06, step =   6.10352e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.267996, sNorm =      0.382575
...-->Linear search: Min =  -1.60933e+06, step =   9.53674e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.027495, sNorm =      0.291633
...-->Linear search: Min =  -1.60933e+06, step =      0.937545
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000369632, sNorm =       0.29283
...-->Linear search: Min =  -1.60933e+06, step =       1.00726
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   8.40526e-05, sNorm =      0.292801
...-->Linear search: Min =  -1.60933e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.21289e-07, sNorm =      0.292801
...-->Linear search: Min =  -1.60933e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   8.00301e-13, sNorm =      0.292801
...-->Linear search: Min =  -1.60933e+06, step =          1.25
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   6.20675e-13, sNorm =      0.292801
...-->Linear search: Min =  -1.60933e+06, step =             1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   3.15858e-13, sNorm =      0.292801
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =       0.28541, sNorm =      0.384968
...-->Linear search: Min =  -1.60804e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.285392, sNorm =      0.384961
...-->Linear search: Min =  -1.60804e+06, step =   1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.285383, sNorm =      0.384958
...-->Linear search: Min =  -1.60804e+06, step =   7.62939e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =      0.285377, sNorm =      0.384955
...-->Linear search: Min =  -1.60804e+06, step =    3.8147e-06
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =      0.285373, sNorm =      0.384953
...-->Linear search: Min =  -1.60804e+06, step =   9.53674e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0248396, sNorm =       0.27201
...-->Linear search: Min =  -1.60804e+06, step =       0.94304
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000307709, sNorm =      0.272997
...-->Linear search: Min =  -1.60804e+06, step =       1.00573
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   2.97153e-05, sNorm =      0.272987
...-->Linear search: Min =  -1.60804e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.37895e-08, sNorm =      0.272987
...-->Linear search: Min =  -1.60804e+06, step =           1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.37899e-09, sNorm =      0.272987
...-->Linear search: Min =  -1.60804e+06, step =      0.974107
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   3.56863e-11, sNorm =      0.272987
...-->Linear search: Min =  -1.60804e+06, step =             1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   2.92344e-13, sNorm =      0.272987
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.298061, sNorm =       0.38711
...-->Linear search: Min =  -1.60676e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =       0.29804, sNorm =      0.387101
...-->Linear search: Min =  -1.60676e+06, step =   1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.298028, sNorm =      0.387096
...-->Linear search: Min =  -1.60676e+06, step =   7.62939e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =       0.29802, sNorm =      0.387091
...-->Linear search: Min =  -1.60676e+06, step =   1.90735e-06
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0225756, sNorm =      0.254648
...-->Linear search: Min =  -1.60676e+06, step =       0.94727
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000263511, sNorm =      0.255479
...-->Linear search: Min =  -1.60676e+06, step =       1.00446
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   1.42788e-05, sNorm =      0.255474
...-->Linear search: Min =  -1.60676e+06, step =       1.00243
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   3.70963e-08, sNorm =      0.255474
...-->Linear search: Min =  -1.60676e+06, step =        0.9375
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   2.31865e-09, sNorm =      0.255474
...-->Linear search: Min =  -1.60676e+06, step =        0.9875
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =    2.8815e-11, sNorm =      0.255474
...-->Linear search: Min =  -1.60676e+06, step =         1.475
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   1.37075e-11, sNorm =      0.255474
...-->Linear search: Min =  -1.60676e+06, step =      0.974107
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   4.43566e-13, sNorm =      0.255474

...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.

<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.314071, sNorm =       0.39442
...-->Linear search: Min =  -1.60548e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.314046, sNorm =      0.394407
...-->Linear search: Min =  -1.60548e+06, step =   1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =       0.31403, sNorm =      0.394398
...-->Linear search: Min =  -1.60548e+06, step =    3.8147e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =      0.314027, sNorm =      0.394397
...-->Linear search: Min =  -1.60548e+06, step =   1.90735e-06
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =      0.314025, sNorm =      0.394396
...-->Linear search: Min =  -1.60548e+06, step =   9.53674e-07
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =      0.314025, sNorm =      0.394396
...-->Linear search: Min =  -1.60548e+06, step =   4.76837e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0206214, sNorm =      0.239305
...-->Linear search: Min =  -1.60548e+06, step =      0.950829
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000234692, sNorm =      0.240012
...-->Linear search: Min =  -1.60548e+06, step =       1.00385
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   8.14619e-06, sNorm =       0.24001
...-->Linear search: Min =  -1.60548e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   8.70683e-10, sNorm =       0.24001
...-->Linear search: Min =  -1.60548e+06, step =           1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =     8.703e-11, sNorm =       0.24001
...-->Linear search: Min =  -1.60548e+06, step =        0.9375
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   5.49125e-12, sNorm =       0.24001
...-->Linear search: Min =  -1.60548e+06, step =           1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   6.39472e-13, sNorm =       0.24001
...-->Linear search: Min =  -1.60548e+06, step =             1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   5.19395e-13, sNorm =       0.24001
...-->Linear search: Min =  -1.60548e+06, step =             1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   1.19673e-13, sNorm =       0.24001
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.320879, sNorm =      0.396233
...-->Linear search: Min =  -1.60421e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.320851, sNorm =      0.396218
...-->Linear search: Min =  -1.60421e+06, step =   1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.320833, sNorm =      0.396207
...-->Linear search: Min =  -1.60421e+06, step =    3.8147e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =      0.320829, sNorm =      0.396205
...-->Linear search: Min =  -1.60421e+06, step =   1.90735e-06
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.018916, sNorm =      0.225789
...-->Linear search: Min =  -1.60422e+06, step =      0.953956
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000220908, sNorm =      0.226396
...-->Linear search: Min =  -1.60422e+06, step =       1.00361
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.27647e-06, sNorm =      0.226395
...-->Linear search: Min =  -1.60422e+06, step =        0.9875
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   6.56928e-08, sNorm =      0.226395
...-->Linear search: Min =  -1.60422e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.54635e-13, sNorm =      0.226395
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.326289, sNorm =      0.398232
...-->Linear search: Min =  -1.60295e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =       0.32626, sNorm =      0.398215
...-->Linear search: Min =  -1.60295e+06, step =   1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.326239, sNorm =      0.398202
...-->Linear search: Min =  -1.60295e+06, step =    3.8147e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =      0.326234, sNorm =      0.398198
...-->Linear search: Min =  -1.60295e+06, step =   9.53674e-07
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =      0.326234, sNorm =      0.398199
...-->Linear search: Min =  -1.60295e+06, step =   4.76837e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.017412, sNorm =      0.213942
...-->Linear search: Min =  -1.60295e+06, step =      0.956764
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000222503, sNorm =      0.214469
...-->Linear search: Min =  -1.60295e+06, step =       1.00359
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   3.81476e-06, sNorm =      0.214468
...-->Linear search: Min =  -1.60295e+06, step =      0.978977
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   8.00778e-08, sNorm =      0.214468
...-->Linear search: Min =  -1.60295e+06, step =           1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   8.00791e-09, sNorm =      0.214468
...-->Linear search: Min =  -1.60295e+06, step =        0.9375
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   5.00441e-10, sNorm =      0.214468
...-->Linear search: Min =  -1.60295e+06, step =         0.975
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =    1.2611e-11, sNorm =      0.214468
...-->Linear search: Min =  -1.60295e+06, step =             1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   2.76802e-13, sNorm =      0.214468
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.331502, sNorm =      0.401172
...-->Linear search: Min =   -1.6017e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.331471, sNorm =      0.401153
...-->Linear search: Min =   -1.6017e+06, step =   1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.331447, sNorm =      0.401137
...-->Linear search: Min =   -1.6017e+06, step =    3.8147e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =       0.33144, sNorm =      0.401132
...-->Linear search: Min =   -1.6017e+06, step =   9.53674e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0160737, sNorm =       0.20364
...-->Linear search: Min =   -1.6017e+06, step =       0.95939
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00023903, sNorm =      0.204101
...-->Linear search: Min =   -1.6017e+06, step =       1.00363
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   3.05184e-06, sNorm =        0.2041
...-->Linear search: Min =   -1.6017e+06, step =      0.975223
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =    7.5549e-08, sNorm =        0.2041
...-->Linear search: Min =   -1.6017e+06, step =        0.9875
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   9.44374e-10, sNorm =        0.2041
...-->Linear search: Min =   -1.6017e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.95096e-13, sNorm =        0.2041
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.338078, sNorm =      0.406266
...-->Linear search: Min =  -1.60045e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.338044, sNorm =      0.406246
...-->Linear search: Min =  -1.60045e+06, step =   1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.338015, sNorm =      0.406225
...-->Linear search: Min =  -1.60045e+06, step =    3.8147e-06
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0148746, sNorm =       0.19478
...-->Linear search: Min =  -1.60045e+06, step =      0.961906
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000269252, sNorm =      0.195186
...-->Linear search: Min =  -1.60045e+06, step =       1.00363
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   2.66884e-06, sNorm =      0.195186
...-->Linear search: Min =  -1.60045e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   6.28203e-11, sNorm =      0.195186
...-->Linear search: Min =  -1.60045e+06, step =         0.975
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.67559e-12, sNorm =      0.195186
...-->Linear search: Min =  -1.60045e+06, step =       1.09219
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.78565e-13, sNorm =      0.195186
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =       0.34824, sNorm =       0.41545
...-->Linear search: Min =   -1.5992e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.348203, sNorm =      0.415427
...-->Linear search: Min =   -1.5992e+06, step =   1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.348164, sNorm =      0.415396
...-->Linear search: Min =   -1.5992e+06, step =   1.90735e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =      0.348161, sNorm =      0.415394
...-->Linear search: Min =   -1.5992e+06, step =   9.53674e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0137966, sNorm =      0.187279
...-->Linear search: Min =   -1.5992e+06, step =      0.964298
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000310629, sNorm =      0.187641
...-->Linear search: Min =   -1.5992e+06, step =        1.0035
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   2.50961e-06, sNorm =      0.187641
...-->Linear search: Min =   -1.5992e+06, step =        0.9875
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   3.13285e-08, sNorm =      0.187641
...-->Linear search: Min =   -1.5992e+06, step =         1.125
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   3.91604e-09, sNorm =      0.187641
...-->Linear search: Min =   -1.5992e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   2.80156e-13, sNorm =      0.187641
...Adding the solid phase rhm-oxide to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    0.00100887, sNorm =      0.187253
...-->Linear search: Min =   -1.5992e+06, step =      0.982357
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   4.13241e-06, sNorm =      0.187257
...-->Linear search: Min =   -1.5992e+06, step =       1.00688
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   9.61966e-07, sNorm =      0.187257
...-->Linear search: Min =   -1.5992e+06, step =           1.1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   9.62087e-08, sNorm =      0.187257
...-->Linear search: Min =   -1.5992e+06, step =      0.973437
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   2.55534e-09, sNorm =      0.187257
...-->Linear search: Min =   -1.5992e+06, step =           1.1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =    2.5545e-10, sNorm =      0.187257
...-->Linear search: Min =   -1.5992e+06, step =         0.975
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   6.24706e-12, sNorm =      0.187257
...-->Linear search: Min =   -1.5992e+06, step =             1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   9.77944e-14, sNorm =      0.187257
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =        0.5228, sNorm =      0.576247
...-->Linear search: Min =  -1.59796e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =       0.52232, sNorm =      0.575804
...-->Linear search: Min =  -1.59796e+06, step =   9.53674e-07
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.522318, sNorm =      0.575803
...-->Linear search: Min =  -1.59796e+06, step =   4.76837e-07
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =      0.522317, sNorm =      0.575802
...-->Linear search: Min =  -1.59796e+06, step =   2.38419e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0168195, sNorm =      0.178483
...-->Linear search: Min =  -1.59796e+06, step =      0.889952
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000578025, sNorm =      0.179157
...-->Linear search: Min =  -1.59796e+06, step =      0.988479
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   1.96865e-05, sNorm =      0.179151
...-->Linear search: Min =  -1.59796e+06, step =       1.00172
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   3.64513e-08, sNorm =      0.179151
...-->Linear search: Min =  -1.59796e+06, step =         0.975
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   9.11287e-10, sNorm =      0.179151
...-->Linear search: Min =  -1.59796e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   8.22281e-14, sNorm =      0.179151
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase spinel to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0261921, sNorm =      0.169079
...-->Linear search: Min =  -1.59673e+06, step =   0.000488281
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =     0.0261433, sNorm =      0.169083
...-->Linear search: Min =  -1.59673e+06, step =   0.000244141
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =     0.0261191, sNorm =      0.169085
...-->Linear search: Min =  -1.59673e+06, step =   6.10352e-05
...Dropping phase spinel from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0141464, sNorm =      0.172576
...-->Linear search: Min =  -1.59673e+06, step =       0.90031
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000440865, sNorm =      0.173041
...-->Linear search: Min =  -1.59673e+06, step =      0.996815
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   2.59466e-06, sNorm =      0.173041
...-->Linear search: Min =  -1.59673e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.30814e-10, sNorm =      0.173041
...-->Linear search: Min =  -1.59673e+06, step =         0.975
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =    3.2654e-12, sNorm =      0.173041
...-->Linear search: Min =  -1.59673e+06, step =         0.975
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   7.98404e-14, sNorm =      0.173041
...Adding the solid phase spinel to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0148423, sNorm =      0.169981
...-->Linear search: Min =  -1.59673e+06, step =     -0.808996
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00370309, sNorm =       0.17584
...-->Linear search: Min =  -1.59673e+06, step =      0.763286
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =    0.00102107, sNorm =      0.175902
...-->Linear search: Min =  -1.59673e+06, step =      0.569194
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   0.000304467, sNorm =      0.175815
...-->Linear search: Min =  -1.59673e+06, step =       0.93783
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   2.71565e-05, sNorm =      0.175809
...-->Linear search: Min =  -1.59673e+06, step =       1.04106
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   1.02598e-06, sNorm =      0.175808
...-->Linear search: Min =  -1.59673e+06, step =         0.975
...-->Solving quadratic minimization Iter: 7.
...-->rNorm =   2.57349e-08, sNorm =      0.175808
...-->Linear search: Min =  -1.59673e+06, step =           1.1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm =   2.57349e-09, sNorm =      0.175808
...-->Linear search: Min =  -1.59673e+06, step =             1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm =   9.27192e-14, sNorm =      0.175808
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase orthopyroxene to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.411335, sNorm =      0.471834
...-->Linear search: Min =   -1.5955e+06, step =   3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =      0.411261, sNorm =      0.471777
...-->Linear search: Min =   -1.5955e+06, step =   7.62939e-06
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =      0.411246, sNorm =      0.471765
...-->Linear search: Min =   -1.5955e+06, step =   1.90735e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =      0.411242, sNorm =      0.471763
...-->Linear search: Min =   -1.5955e+06, step =   9.53674e-07
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =      0.411242, sNorm =      0.471763
...-->Linear search: Min =   -1.5955e+06, step =   4.76837e-07
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0129912, sNorm =      0.171832
...-->Linear search: Min =   -1.5955e+06, step =         0.125
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =     0.0108904, sNorm =       0.17171
...-->Linear search: Min =   -1.5955e+06, step =        0.0625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =     0.0100544, sNorm =      0.171682
...-->Linear search: Min =   -1.5955e+06, step =     0.0078125
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =     0.0099594, sNorm =      0.171679
...-->Linear search: Min =   -1.5955e+06, step =    0.00195312
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =    0.00993592, sNorm =      0.171679
...-->Linear search: Min =   -1.5955e+06, step =   0.000244141
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =      0.009933, sNorm =      0.171679
...-->Linear search: Min =   -1.5955e+06, step =    0.00012207
...Dropping phase rhm-oxide from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    0.00993449, sNorm =      0.171391
...-->Linear search: Min =  -1.59551e+06, step =      0.871238
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000733254, sNorm =      0.171496
...-->Linear search: Min =  -1.59551e+06, step =       1.00286
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.84385e-06, sNorm =      0.171497
...-->Linear search: Min =  -1.59551e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   6.79091e-10, sNorm =      0.171497
...-->Linear search: Min =  -1.59551e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   9.21524e-14, sNorm =      0.171497
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase rhm-oxide to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.010445, sNorm =      0.168181
...-->Linear search: Min =  -1.59429e+06, step =     0.0078125
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =     0.0103479, sNorm =      0.168181
...-->Linear search: Min =  -1.59429e+06, step =    0.00390625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =     0.0102999, sNorm =      0.168181
...-->Linear search: Min =  -1.59429e+06, step =   0.000488281
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =     0.0102939, sNorm =      0.168181
...-->Linear search: Min =  -1.59429e+06, step =   0.000244141
...Dropping phase rhm-oxide from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =      0.010377, sNorm =        0.1679
...-->Linear search: Min =  -1.59429e+06, step =      0.874754
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000649317, sNorm =      0.168051
...-->Linear search: Min =  -1.59429e+06, step =       1.00321
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   5.25349e-06, sNorm =      0.168051
...-->Linear search: Min =  -1.59429e+06, step =             1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   4.24219e-10, sNorm =      0.168051
...-->Linear search: Min =  -1.59429e+06, step =         1.125
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   5.30226e-11, sNorm =      0.168051
...-->Linear search: Min =  -1.59429e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   7.50361e-14, sNorm =      0.168051
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase rhm-oxide to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =     0.0088592, sNorm =      0.165438
...-->Linear search: Min =  -1.59307e+06, step =     0.0078125
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00877922, sNorm =      0.165439
...-->Linear search: Min =  -1.59307e+06, step =    0.00390625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =    0.00873962, sNorm =       0.16544
...-->Linear search: Min =  -1.59307e+06, step =    0.00195312
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =    0.00871993, sNorm =       0.16544
...-->Linear search: Min =  -1.59307e+06, step =   0.000976562
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =     0.0087101, sNorm =       0.16544
...-->Linear search: Min =  -1.59307e+06, step =   0.000244141
...Dropping phase rhm-oxide from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    0.00881837, sNorm =      0.165227
...-->Linear search: Min =  -1.59307e+06, step =      0.895994
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000404497, sNorm =      0.165352
...-->Linear search: Min =  -1.59307e+06, step =       1.00265
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   2.44312e-06, sNorm =      0.165352
...-->Linear search: Min =  -1.59307e+06, step =       1.01528
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =    3.7269e-08, sNorm =      0.165352
...-->Linear search: Min =  -1.59307e+06, step =             1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.15524e-13, sNorm =      0.165352
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Adding the solid phase rhm-oxide to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    0.00769269, sNorm =      0.163287
...-->Linear search: Min =  -1.59186e+06, step =      0.015625
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =    0.00755601, sNorm =      0.163289
...-->Linear search: Min =  -1.59186e+06, step =    0.00195312
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =    0.00753925, sNorm =      0.163289
...-->Linear search: Min =  -1.59186e+06, step =   0.000976562
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =    0.00753089, sNorm =      0.163289
...-->Linear search: Min =  -1.59186e+06, step =   0.000488281
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =    0.00752672, sNorm =      0.163289
...-->Linear search: Min =  -1.59186e+06, step =   0.000244141
...Dropping phase rhm-oxide from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm =    0.00762652, sNorm =      0.163138
...-->Linear search: Min =  -1.59186e+06, step =      0.909515
...-->Solving quadratic minimization Iter: 2.
...-->rNorm =   0.000276401, sNorm =      0.163235
...-->Linear search: Min =  -1.59186e+06, step =       1.00207
...-->Solving quadratic minimization Iter: 3.
...-->rNorm =   1.29511e-06, sNorm =      0.163235
...-->Linear search: Min =  -1.59186e+06, step =        0.9875
...-->Solving quadratic minimization Iter: 4.
...-->rNorm =   1.62046e-08, sNorm =      0.163235
...-->Linear search: Min =  -1.59186e+06, step =           1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm =   1.62051e-09, sNorm =      0.163235
...-->Linear search: Min =  -1.59186e+06, step =             1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm =   8.10041e-14, sNorm =      0.163235
<> Stable liquid solid assemblage achieved.

...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
...Checking saturation state of potential solids.
Current state of the system recorded in _tbl.txt files.
 Complete (time taken = 4.34 seconds)     SiO2_Liq  TiO2_Liq  Al2O3_Liq  Cr2O3_Liq  Fe2O3_Liq    FeO_Liq  \
0   49.936973  1.965551  15.724410        0.0   1.865037   7.649686
1   49.919050  2.067720  15.698771        0.0   1.910563   7.964766
2   49.877077  2.188829  15.603728        0.0   1.975405   8.331582
3   49.807560  2.316191  15.499478        0.0   2.050197   8.701085
4   49.708610  2.451355  15.383654        0.0   2.135415   9.074265
5   49.578880  2.595281  15.254451        0.0   2.231331   9.451502
6   49.418159  2.747898  15.111418        0.0   2.337740   9.832566
7   49.223418  2.915472  14.929317        0.0   2.459379  10.224408
8   49.008104  3.085195  14.735822        0.0   2.588321  10.619112
9   48.777549  3.251344  14.544574        0.0   2.721693  11.013611
10  48.534244  3.412362  14.355717        0.0   2.859750  11.408480
11  48.281544  3.566214  14.169558        0.0   3.002648  11.803852
12  48.023977  3.710259  13.986648        0.0   3.150381  12.199252
13  47.767679  3.841068  13.807915        0.0   3.302679  12.593334
14  47.521003  3.954189  13.634852        0.0   3.458857  12.983485
15  47.295359  4.043847  13.469782        0.0   3.617564  13.365223
16  47.179310  4.040017  13.333575        0.0   3.774342  13.719424
17  47.468433  3.693407  13.307541        0.0   3.913321  13.967811
18  50.406519  3.049756  14.143769        0.0   2.843193  12.115399
19  51.593592  2.722767  14.390231        0.0   2.510560  11.472766
20  52.471761  2.474934  14.553483        0.0   2.286876  10.994074
21  53.190414  2.274197  14.679816        0.0   2.113320  10.585977
22  53.798714  2.104899  14.784329        0.0   1.972316  10.224397

     FeOt_Liq  MnO_Liq   MgO_Liq    CaO_Liq  Na2O_Liq   K2O_Liq  P2O5_Liq  \
0    9.327834      0.0  7.882160  11.713488  3.033135  0.029932       0.0
1    9.683878      0.0  7.751061  11.300642  3.143106  0.031662       0.0
2   10.109038      0.0  7.631807  10.873630  3.256046  0.033654       0.0
3   10.545839      0.0  7.503286  10.477947  3.363561  0.035720       0.0
4   10.995698      0.0  7.364433  10.115391  3.465916  0.037871       0.0
5   11.459239      0.0  7.215700   9.786893  3.563064  0.040111       0.0
6   11.936049      0.0  7.059561   9.491494  3.654552  0.042428       0.0
7   12.437341      0.0  6.867140   9.259723  3.747496  0.044943       0.0
8   12.948066      0.0  6.671651   9.053684  3.835434  0.047500       0.0
9   13.462572      0.0  6.488234   8.854561  3.915364  0.050021       0.0
10  13.981664      0.0  6.315261   8.661019  3.988184  0.052502       0.0
11  14.505615      0.0  6.151002   8.471623  4.054973  0.054937       0.0
12  15.033943      0.0  5.993543   8.284787  4.117068  0.057325       0.0
13  15.565063      0.0  5.840695   8.098726  4.176175  0.059664       0.0
14  16.095741      0.0  5.689871   7.911400  4.234533  0.061959       0.0
15  16.620283      0.0  5.537942   7.720441  4.295135  0.064222       0.0
16  17.115552      0.0  5.361355   7.499294  4.387282  0.066784       0.0
17  17.488991      0.0  5.087456   7.155726  4.622108  0.070877       0.0
18  14.673685      0.0  4.400438   6.871058  5.236519  0.084024       0.0
19  13.731752      0.0  4.069763   6.614963  5.572530  0.091852       0.0
20  13.051790      0.0  3.814200   6.385737  5.849929  0.098687       0.0
21  12.487528      0.0  3.601436   6.178107  6.091974  0.104962       0.0
22  11.999074      0.0  3.418482   5.987283  6.308558  0.110818       0.0

     H2O_Liq  CO2_Liq  Fe3Fet_Liq
0   0.199628      0.0    0.179908
1   0.212659      0.0    0.177523
2   0.228243      0.0    0.175828
3   0.244974      0.0    0.174927
4   0.263089      0.0    0.174744
5   0.282787      0.0    0.175207
6   0.304183      0.0    0.176229
7   0.328705      0.0    0.177927
8   0.355177      0.0    0.179869
9   0.383050      0.0    0.181909
10  0.412481      0.0    0.184040
11  0.443649      0.0    0.186256
12  0.476762      0.0    0.188553
13  0.512065      0.0    0.190923
14  0.549852      0.0    0.193359
15  0.590484      0.0    0.195849
16  0.638619      0.0    0.198424
17  0.713319      0.0    0.201337
18  0.849325      0.0    0.174345
19  0.960977      0.0    0.164508
20  1.070319      0.0    0.157658
21  1.179798      0.0    0.152276
22  1.290204      0.0    0.147901