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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.
[2]:
# import petthermotools as ptt
# ptt.update_alphaMELTS_path(version="2.3.2")
# 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
[1]:
#### 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.
[1]:
### 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 successfully located.
If using the Green et al. (2025) or Weller et al. (2024) thermodynamic models please run `ptt.activate_petthermotools_env()` prior to any calculations.
[1]:
'1.1.6'
[3]:
### Use the ptt.install_alphaMELTS() function to download the alphaMELTS for Python files and add them to your Python path
ptt.install_alphaMELTS(version = "2.3.1")
### 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/")
Please note this does not remove the previously downloaded alphaMELTS files. That has to be done manually.
This function simply removes the Python path to those files so that you can install/update to a new version of alphaMELTS for Python.
Checking /Users/gleesonm/anaconda3/lib/python3.11/site-packages for .pth files
Found .pth file: sphinxcontrib_jsmath-1.0.1-py3.9-nspkg.pth
Found .pth file: ruamel.yaml-0.17.21-py3.11-nspkg.pth
Found .pth file: easy-install.pth
Found .pth file: my_MELTS_path.pth
Found .pth file: aeosa.pth
Found .pth file: distutils-precedence.pth
Found .pth file: protobuf-3.20.3-py3.11-nspkg.pth
Removed /Users/gleesonm/anaconda3/lib/python3.11/site-packages/my_MELTS_path.pth
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-matthew.gleeson.geo@gmail.com/My Drive/!!!Berkeley/2024/MELTS/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.
[2]:
from meltsdynamic import MELTSdynamic
meltstest = MELTSdynamic(1)
meltstest.version
alphaMELTS for Python version 2.3.2 (Dec 8 2025 12:14:37)
Setting calculation mode to rhyolite-MELTS 1.0.2
[2]:
'2.3.2 (Dec 8 2025 12:14:37)'
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.
[1]:
import petthermotools as ptt
alphaMELTS for Python files successfully located.
If using the Green et al. (2025) or Weller et al. (2024) thermodynamic models please run `ptt.activate_petthermotools_env()` prior to any calculations.
[2]:
# This will run a simple crystallization calculation to test the installation process has worked correctly.
ptt.test_alphaMELTS()
A default timeout of 5 minutes has been specified. If you are not getting any results try increasing this using the timeout kwarg.
Running MELTSv1.0.2 calculation...alphaMELTS for Python files successfully located.
If using the Green et al. (2025) or Weller et al. (2024) thermodynamic models please run `ptt.activate_petthermotools_env()` prior to any calculations.
alphaMELTS for Python version 2.3.2 (Dec 8 2025 12:14:37)
Setting calculation mode to rhyolite-MELTS 1.0.2
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 2 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
Processed line... output: none Processed line... suppress: rutile Processed line... suppress: tridymite ...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89347e-12, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = 1.99998
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -1.99976
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 1.76786e-11, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 5.30358e-11, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.59107e-10, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 4.77322e-10, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 1.43196e-09, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 4.29589e-09, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 1.28877e-08, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 3.8663e-08, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 1.15989e-07, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 3.47967e-07, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 1.0439e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63178e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 3.13171e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63179e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 9.39512e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63181e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 2.81853e-05, sNorm = 0.510644
...-->Linear search: Min = -1.63187e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 8.4556e-05, sNorm = 0.510644
...-->Linear search: Min = -1.63204e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000253668, sNorm = 0.510644
...-->Linear search: Min = -1.63255e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.000761004, sNorm = 0.510644
...-->Linear search: Min = -1.6341e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.00228301, sNorm = 0.510644
...-->Linear search: Min = -1.63874e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.00684904, sNorm = 0.510644
...-->Linear search: Min = -1.65267e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0205471, sNorm = 0.510644
...-->Linear search: Min = -1.69442e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.0616413, sNorm = 0.510644
...-->Linear search: Min = -1.81954e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.184924, sNorm = 0.510644
...-->Linear search: Min = -2.19411e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 0.554772, sNorm = 0.510644
...-->Linear search: Min = -3.31433e+06, step = -2
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.66432, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118729
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51341e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.51042e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.768e-11, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30398e-11, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.59119e-10, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77358e-10, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43207e-09, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29622e-09, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.8666e-08, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15998e-07, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47994e-07, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04398e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63096e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13194e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63097e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39583e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63099e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81875e-05, sNorm = 0.510644
...-->Linear search: Min = -1.63104e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.45625e-05, sNorm = 0.510644
...-->Linear search: Min = -1.63122e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253687, sNorm = 0.510644
...-->Linear search: Min = -1.63173e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761062, sNorm = 0.510644
...-->Linear search: Min = -1.63328e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.00228319, sNorm = 0.510644
...-->Linear search: Min = -1.63792e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.00684956, sNorm = 0.510644
...-->Linear search: Min = -1.65184e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205487, sNorm = 0.510644
...-->Linear search: Min = -1.69357e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.061646, sNorm = 0.510644
...-->Linear search: Min = -1.81865e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184938, sNorm = 0.510644
...-->Linear search: Min = -2.19309e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554814, sNorm = 0.510644
...-->Linear search: Min = -3.31291e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66444, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.118636
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Linear search: Min = -3.51177e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.8619, sNorm = 0.510644
...-->Linear search: Min = -3.50878e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85893, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76786e-11, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30358e-11, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.59107e-10, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77322e-10, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43197e-09, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.2959e-09, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28877e-08, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86631e-08, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15989e-07, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47967e-07, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.0439e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63014e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13171e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63015e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39512e-06, sNorm = 0.510644
...-->Linear search: Min = -1.63016e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81854e-05, sNorm = 0.510644
...-->Linear search: Min = -1.63022e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.45561e-05, sNorm = 0.510644
...-->Linear search: Min = -1.63039e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253668, sNorm = 0.510644
...-->Linear search: Min = -1.63091e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761005, sNorm = 0.510644
...-->Linear search: Min = -1.63245e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.00228301, sNorm = 0.510644
...-->Linear search: Min = -1.63709e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.00684904, sNorm = 0.510644
...-->Linear search: Min = -1.651e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205471, sNorm = 0.510644
...-->Linear search: Min = -1.69272e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616414, sNorm = 0.510644
...-->Linear search: Min = -1.81773e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184924, sNorm = 0.510644
...-->Linear search: Min = -2.19198e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554772, sNorm = 0.510644
...-->Linear search: Min = -3.31124e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66432, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.118728
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.51016e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50717e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76801e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30401e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5912e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77361e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43208e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29625e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86662e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15999e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62931e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47996e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62932e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04399e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62932e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13196e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62932e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39589e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62934e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81877e-05, sNorm = 0.510644
...-->Linear search: Min = -1.6294e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.4563e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62957e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253689, sNorm = 0.510644
...-->Linear search: Min = -1.63009e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761067, sNorm = 0.510644
...-->Linear search: Min = -1.63163e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.0022832, sNorm = 0.510644
...-->Linear search: Min = -1.63627e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.0068496, sNorm = 0.510644
...-->Linear search: Min = -1.65017e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205488, sNorm = 0.510644
...-->Linear search: Min = -1.69188e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616464, sNorm = 0.510644
...-->Linear search: Min = -1.81685e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184939, sNorm = 0.510644
...-->Linear search: Min = -2.19097e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554818, sNorm = 0.510644
...-->Linear search: Min = -3.30984e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66445, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.118636
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50853e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50555e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76801e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30401e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5912e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77361e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43208e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29624e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86662e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15999e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62849e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47996e-07, sNorm = 0.510644
...-->Linear search: Min = -1.6285e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04399e-06, sNorm = 0.510644
...-->Linear search: Min = -1.6285e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13196e-06, sNorm = 0.510644
...-->Linear search: Min = -1.6285e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39588e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62852e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81876e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62858e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.45629e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62875e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253689, sNorm = 0.510644
...-->Linear search: Min = -1.62927e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761066, sNorm = 0.510644
...-->Linear search: Min = -1.63081e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.0022832, sNorm = 0.510644
...-->Linear search: Min = -1.63545e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.0068496, sNorm = 0.510644
...-->Linear search: Min = -1.64935e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205488, sNorm = 0.510644
...-->Linear search: Min = -1.69103e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616464, sNorm = 0.510644
...-->Linear search: Min = -1.81594e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184939, sNorm = 0.510644
...-->Linear search: Min = -2.1899e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554817, sNorm = 0.510644
...-->Linear search: Min = -3.3083e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66445, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118637
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50691e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50691e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50691e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50691e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50691e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50691e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50691e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50691e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50393e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62767e+06, step = -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76801e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62767e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30401e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62767e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5912e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62767e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77361e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62767e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43208e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62767e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29624e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62767e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62767e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86662e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62768e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15999e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62768e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47996e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62768e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04399e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62768e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13196e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62768e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39588e-06, sNorm = 0.510644
...-->Linear search: Min = -1.6277e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81876e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62776e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.45629e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62793e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253689, sNorm = 0.510644
...-->Linear search: Min = -1.62845e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761066, sNorm = 0.510644
...-->Linear search: Min = -1.62999e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.0022832, sNorm = 0.510644
...-->Linear search: Min = -1.63462e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.0068496, sNorm = 0.510644
...-->Linear search: Min = -1.64852e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205488, sNorm = 0.510644
...-->Linear search: Min = -1.69018e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616464, sNorm = 0.510644
...-->Linear search: Min = -1.81504e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184939, sNorm = 0.510644
...-->Linear search: Min = -2.18884e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554817, sNorm = 0.510644
...-->Linear search: Min = -3.30676e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66445, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118637
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50529e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50529e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50529e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50529e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50529e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50529e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50529e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50529e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50231e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76801e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30401e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5912e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77361e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43208e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29624e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86662e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15999e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47996e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04399e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62686e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13196e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62687e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39588e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62688e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81876e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62694e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.45629e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62711e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253689, sNorm = 0.510644
...-->Linear search: Min = -1.62763e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761066, sNorm = 0.510644
...-->Linear search: Min = -1.62917e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.0022832, sNorm = 0.510644
...-->Linear search: Min = -1.6338e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.0068496, sNorm = 0.510644
...-->Linear search: Min = -1.64769e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205488, sNorm = 0.510644
...-->Linear search: Min = -1.68934e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616464, sNorm = 0.510644
...-->Linear search: Min = -1.81414e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184939, sNorm = 0.510644
...-->Linear search: Min = -2.18778e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554817, sNorm = 0.510644
...-->Linear search: Min = -3.30523e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66445, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118637
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50367e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50367e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50367e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50367e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50367e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50367e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50367e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50367e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.50069e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76801e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30401e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5912e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77361e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43208e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29625e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86662e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15999e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47996e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04399e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62604e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13196e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62605e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39589e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62607e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81877e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62612e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.4563e-05, sNorm = 0.510644
...-->Linear search: Min = -1.6263e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253689, sNorm = 0.510644
...-->Linear search: Min = -1.62681e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761067, sNorm = 0.510644
...-->Linear search: Min = -1.62835e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.0022832, sNorm = 0.510644
...-->Linear search: Min = -1.63298e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.0068496, sNorm = 0.510644
...-->Linear search: Min = -1.64686e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205488, sNorm = 0.510644
...-->Linear search: Min = -1.68849e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616464, sNorm = 0.510644
...-->Linear search: Min = -1.81325e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184939, sNorm = 0.510644
...-->Linear search: Min = -2.18672e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554818, sNorm = 0.510644
...-->Linear search: Min = -3.30369e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66445, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.118636
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50205e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49907e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76786e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30358e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.59107e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77322e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43196e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29589e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28877e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.8663e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15989e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47967e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62522e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.0439e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62523e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13171e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62523e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39512e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62525e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81853e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62531e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.4556e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62548e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253668, sNorm = 0.510644
...-->Linear search: Min = -1.62599e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761004, sNorm = 0.510644
...-->Linear search: Min = -1.62753e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.00228301, sNorm = 0.510644
...-->Linear search: Min = -1.63216e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.00684904, sNorm = 0.510644
...-->Linear search: Min = -1.64604e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205471, sNorm = 0.510644
...-->Linear search: Min = -1.68764e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616413, sNorm = 0.510644
...-->Linear search: Min = -1.81233e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184924, sNorm = 0.510644
...-->Linear search: Min = -2.18562e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554772, sNorm = 0.510644
...-->Linear search: Min = -3.30203e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66432, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118729
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.50044e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49746e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76801e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30401e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5912e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77361e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43208e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29624e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86662e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15999e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47996e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04399e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62441e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13196e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62442e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39588e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62443e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81877e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62449e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.4563e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62466e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253689, sNorm = 0.510644
...-->Linear search: Min = -1.62518e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761067, sNorm = 0.510644
...-->Linear search: Min = -1.62672e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.0022832, sNorm = 0.510644
...-->Linear search: Min = -1.63134e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.0068496, sNorm = 0.510644
...-->Linear search: Min = -1.64521e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205488, sNorm = 0.510644
...-->Linear search: Min = -1.6868e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616464, sNorm = 0.510644
...-->Linear search: Min = -1.81145e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184939, sNorm = 0.510644
...-->Linear search: Min = -2.18461e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554817, sNorm = 0.510644
...-->Linear search: Min = -3.30063e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66445, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118636
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49882e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49585e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76801e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30402e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5912e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77361e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43208e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29625e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86662e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15999e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47996e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04399e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62359e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13196e-06, sNorm = 0.510644
...-->Linear search: Min = -1.6236e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39589e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62362e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81877e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62368e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.4563e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62385e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253689, sNorm = 0.510644
...-->Linear search: Min = -1.62436e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761067, sNorm = 0.510644
...-->Linear search: Min = -1.6259e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.0022832, sNorm = 0.510644
...-->Linear search: Min = -1.63052e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.0068496, sNorm = 0.510644
...-->Linear search: Min = -1.64439e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205488, sNorm = 0.510644
...-->Linear search: Min = -1.68596e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616464, sNorm = 0.510644
...-->Linear search: Min = -1.81055e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184939, sNorm = 0.510644
...-->Linear search: Min = -2.18355e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554818, sNorm = 0.510644
...-->Linear search: Min = -3.2991e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66445, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118637
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49722e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49722e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49722e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49722e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49722e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49722e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49722e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49722e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49424e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -1.99999
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.768e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30399e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.59119e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77358e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43207e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29622e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.8666e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15998e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47994e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04398e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62278e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13194e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62279e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39583e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62281e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81875e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62286e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.45625e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62303e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253687, sNorm = 0.510644
...-->Linear search: Min = -1.62355e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761062, sNorm = 0.510644
...-->Linear search: Min = -1.62509e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.00228319, sNorm = 0.510644
...-->Linear search: Min = -1.62971e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.00684956, sNorm = 0.510644
...-->Linear search: Min = -1.64356e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205487, sNorm = 0.510644
...-->Linear search: Min = -1.68512e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616461, sNorm = 0.510644
...-->Linear search: Min = -1.80966e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184938, sNorm = 0.510644
...-->Linear search: Min = -2.18249e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554814, sNorm = 0.510644
...-->Linear search: Min = -3.29757e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66444, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118637
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Min = -3.49559e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Min = -3.49559e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Min = -3.49559e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Min = -3.49559e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Min = -3.49559e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Min = -3.49559e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Min = -3.49559e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Min = -3.49559e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86191, sNorm = 0.510644
...-->Linear search: Min = -3.49262e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85894, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76786e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30358e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.59107e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77322e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43196e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29589e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28877e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.8663e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15989e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62196e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47967e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62197e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.0439e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62197e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13171e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62197e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39512e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62199e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81854e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62205e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.45561e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62222e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253668, sNorm = 0.510644
...-->Linear search: Min = -1.62273e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761005, sNorm = 0.510644
...-->Linear search: Min = -1.62427e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.00228301, sNorm = 0.510644
...-->Linear search: Min = -1.62889e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.00684904, sNorm = 0.510644
...-->Linear search: Min = -1.64274e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205471, sNorm = 0.510644
...-->Linear search: Min = -1.68428e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616414, sNorm = 0.510644
...-->Linear search: Min = -1.80875e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184924, sNorm = 0.510644
...-->Linear search: Min = -2.1814e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554772, sNorm = 0.510644
...-->Linear search: Min = -3.29592e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66432, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.118729
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.494e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.49103e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -1.99976
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76786e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30358e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.59107e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77322e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43197e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.2959e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28877e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86631e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15989e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47967e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62115e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.0439e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62116e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13171e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62116e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39512e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62118e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81854e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62124e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.45561e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62141e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253668, sNorm = 0.510644
...-->Linear search: Min = -1.62192e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761005, sNorm = 0.510644
...-->Linear search: Min = -1.62346e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.00228301, sNorm = 0.510644
...-->Linear search: Min = -1.62808e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.00684904, sNorm = 0.510644
...-->Linear search: Min = -1.64192e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205471, sNorm = 0.510644
...-->Linear search: Min = -1.68344e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616414, sNorm = 0.510644
...-->Linear search: Min = -1.80786e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184924, sNorm = 0.510644
...-->Linear search: Min = -2.18034e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554772, sNorm = 0.510644
...-->Linear search: Min = -3.29439e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66432, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.118728
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49239e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48942e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 5.89336e-12, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.76801e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.30401e-11, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5912e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77361e-10, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.43208e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.29625e-09, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.28887e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.86662e-08, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.15999e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 3.47996e-07, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 12.
...-->rNorm = 1.04399e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62034e+06, step = -2
...-->Solving quadratic minimization Iter: 13.
...-->rNorm = 3.13196e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62035e+06, step = -2
...-->Solving quadratic minimization Iter: 14.
...-->rNorm = 9.39589e-06, sNorm = 0.510644
...-->Linear search: Min = -1.62037e+06, step = -2
...-->Solving quadratic minimization Iter: 15.
...-->rNorm = 2.81877e-05, sNorm = 0.510644
...-->Linear search: Min = -1.62043e+06, step = -2
...-->Solving quadratic minimization Iter: 16.
...-->rNorm = 8.4563e-05, sNorm = 0.510644
...-->Linear search: Min = -1.6206e+06, step = -2
...-->Solving quadratic minimization Iter: 17.
...-->rNorm = 0.000253689, sNorm = 0.510644
...-->Linear search: Min = -1.62111e+06, step = -2
...-->Solving quadratic minimization Iter: 18.
...-->rNorm = 0.000761067, sNorm = 0.510644
...-->Linear search: Min = -1.62265e+06, step = -2
...-->Solving quadratic minimization Iter: 19.
...-->rNorm = 0.0022832, sNorm = 0.510644
...-->Linear search: Min = -1.62726e+06, step = -2
...-->Solving quadratic minimization Iter: 20.
...-->rNorm = 0.0068496, sNorm = 0.510644
...-->Linear search: Min = -1.6411e+06, step = -2
...-->Solving quadratic minimization Iter: 21.
...-->rNorm = 0.0205488, sNorm = 0.510644
...-->Linear search: Min = -1.6826e+06, step = -2
...-->Solving quadratic minimization Iter: 22.
...-->rNorm = 0.0616464, sNorm = 0.510644
...-->Linear search: Min = -1.80698e+06, step = -2
...-->Solving quadratic minimization Iter: 23.
...-->rNorm = 0.184939, sNorm = 0.510644
...-->Linear search: Min = -2.17934e+06, step = -2
...-->Solving quadratic minimization Iter: 24.
...-->rNorm = 0.554818, sNorm = 0.510644
...-->Linear search: Min = -3.29301e+06, step = -2
...-->Solving quadratic minimization Iter: 25.
...-->rNorm = 1.66445, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.118636
...-->Solving quadratic minimization Iter: 26.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 27.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 28.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 29.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 30.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 31.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 32.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 33.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 34.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 35.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 36.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 37.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 38.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 39.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 40.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 41.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 42.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 43.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 44.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 45.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 46.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 47.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 48.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 49.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 50.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 51.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 52.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 53.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 54.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 55.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 56.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 57.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 58.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 59.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 60.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 61.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 62.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 63.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 64.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 65.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 66.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 67.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 68.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 69.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 70.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 71.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 72.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 73.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 74.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 75.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 76.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 77.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 78.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 79.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 80.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 81.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 82.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 83.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 84.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 85.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 86.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 87.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 88.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 89.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 90.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 91.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 92.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 93.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 94.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 95.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 96.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 97.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Iteration exceeded - aborting.
...-->Linear search: Min = 0, step = -0.00159786
...-->Solving quadratic minimization Iter: 98.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 99.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Linear search: Min = -3.49078e+06, step = -0.00159786
...-->Solving quadratic minimization Iter: 100.
...-->rNorm = 1.86192, sNorm = 0.510644
...-->Linear search: Min = -3.48781e+06, step = 0.00159531
...-->Solving quadratic minimization Iter: 101.
...-->rNorm = 1.85895, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00472129, sNorm = 0.507191
...-->Linear search: Min = -1.61953e+06, step = 0.986336
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 2.29932e-05, sNorm = 0.507224
...-->Linear search: Min = -1.61953e+06, step = 1.01234
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 9.87836e-06, sNorm = 0.507216
...-->Linear search: Min = -1.61953e+06, step = 1.00048
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 4.99054e-09, sNorm = 0.507216
...-->Linear search: Min = -1.61953e+06, step = 1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.99258e-10, sNorm = 0.507216
...-->Linear search: Min = -1.61953e+06, step = 1.1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 4.99863e-11, sNorm = 0.507216
...-->Linear search: Min = -1.61953e+06, step = 1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 5.21861e-14, sNorm = 0.507216
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00315594, sNorm = 0.504342
...-->Linear search: Min = -1.61953e+06, step = 0.994224
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.1326e-05, sNorm = 0.504349
...-->Linear search: Min = -1.61953e+06, step = 1.00589
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 3.47384e-06, sNorm = 0.504346
...-->Linear search: Min = -1.61953e+06, step = 0.9875
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 4.34083e-08, sNorm = 0.504346
...-->Linear search: Min = -1.61953e+06, step = 1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.34603e-09, sNorm = 0.504346
...-->Linear search: Min = -1.61953e+06, step = 1.1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 4.22402e-10, sNorm = 0.504346
...-->Linear search: Min = -1.61953e+06, step = 0.975
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 3.28302e-11, sNorm = 0.504346
...-->Linear search: Min = -1.61953e+06, step = 1.1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 2.34295e-11, sNorm = 0.504346
...-->Linear search: Min = -1.61953e+06, step = 1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 1.34361e-11, sNorm = 0.504346
...-->Linear search: Min = -1.61953e+06, step = 1
...-->Linear search: Convergence detected.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00777363, sNorm = 0.511342
...-->Linear search: Min = -1.6198e+06, step = 0.617538
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.0053687, sNorm = 0.513509
...-->Linear search: Min = -1.6198e+06, step = 0.015625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.00513089, sNorm = 0.513371
...-->Linear search: Min = -1.6198e+06, step = 0.0078125
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.00498897, sNorm = 0.51328
...-->Linear search: Min = -1.6198e+06, step = 0.00195312
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.00496185, sNorm = 0.513265
...-->Linear search: Min = -1.6198e+06, step = 0.000976562
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 0.00494376, sNorm = 0.513253
...-->Linear search: Min = -1.6198e+06, step = 0.000244141
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 0.00493984, sNorm = 0.513251
...-->Linear search: Min = -1.6198e+06, step = 6.10352e-05
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00131563, sNorm = 0.509748
...-->Linear search: Min = -1.6198e+06, step = 0.982053
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 2.88954e-05, sNorm = 0.509753
...-->Linear search: Min = -1.6198e+06, step = 0.964488
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.58121e-06, sNorm = 0.50975
...-->Linear search: Min = -1.6198e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 3.20399e-10, sNorm = 0.50975
...-->Linear search: Min = -1.6198e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 6.90637e-13, sNorm = 0.50975
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0034905, sNorm = 0.512309
...-->Linear search: Min = -1.62007e+06, step = 0.25
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00262157, sNorm = 0.51231
...-->Linear search: Min = -1.62007e+06, step = 0.125
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.00229734, sNorm = 0.512312
...-->Linear search: Min = -1.62007e+06, step = 0.0078125
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.00227966, sNorm = 0.512312
...-->Linear search: Min = -1.62007e+06, step = 0.000976562
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.00227747, sNorm = 0.512312
...-->Linear search: Min = -1.62007e+06, step = 0.00012207
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 0.0022772, sNorm = 0.512312
...-->Linear search: Min = -1.62007e+06, step = 6.10352e-05
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 0.00227706, sNorm = 0.512312
...-->Linear search: Min = -1.62007e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 2.15772e-16, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00121189, sNorm = 0.509748
...-->Linear search: Min = -1.6198e+06, step = 0.996466
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.31564e-06, sNorm = 0.509751
...-->Linear search: Min = -1.6198e+06, step = 1.00271
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 7.27388e-07, sNorm = 0.50975
...-->Linear search: Min = -1.6198e+06, step = 1.05
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 3.6365e-08, sNorm = 0.50975
...-->Linear search: Min = -1.6198e+06, step = 1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 3.6357e-09, sNorm = 0.50975
...-->Linear search: Min = -1.6198e+06, step = 1.1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 3.63662e-10, sNorm = 0.50975
...-->Linear search: Min = -1.6198e+06, step = 1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 3.73253e-11, sNorm = 0.50975
...-->Linear search: Min = -1.6198e+06, step = 1.25
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 9.94266e-12, sNorm = 0.50975
...-->Linear search: Min = -1.6198e+06, step = 1.25
...-->Linear search: Convergence detected.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.000349166, sNorm = 0.510006
...-->Linear search: Min = -1.61983e+06, step = 1.00027
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 1.66335e-07, sNorm = 0.510006
...-->Linear search: Min = -1.61983e+06, step = 1
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 8.89609e-09, sNorm = 0.510006
...-->Linear search: Min = -1.61983e+06, step = 1.175
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5554e-09, sNorm = 0.510006
...-->Linear search: Min = -1.61983e+06, step = 1.8125
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.26242e-09, sNorm = 0.510006
...-->Linear search: Min = -1.61983e+06, step = 0.95625
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 5.41711e-11, sNorm = 0.510006
...-->Linear search: Min = -1.61983e+06, step = 1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 5.12265e-14, sNorm = 0.510006
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.000349603, sNorm = 0.510262
...-->Linear search: Min = -1.61985e+06, step = 1
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 2.69619e-07, sNorm = 0.510262
...-->Linear search: Min = -1.61985e+06, step = 1
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.48162e-08, sNorm = 0.510262
...-->Linear search: Min = -1.61985e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 8.64747e-13, sNorm = 0.510262
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.000350041, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 0.998589
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 9.56807e-07, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.26885e-07, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1.25
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 5.67091e-08, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 5.66667e-09, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1.175
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 9.81528e-10, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 8.95275e-11, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 3.52576e-12, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1.08924
...-->Linear search: Convergence detected.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00035048, sNorm = 0.510775
...-->Linear search: Min = -1.61991e+06, step = 0.485139
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000342204, sNorm = 0.510892
...-->Linear search: Min = -1.61991e+06, step = 0.00390625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.000330156, sNorm = 0.510884
...-->Linear search: Min = -1.61991e+06, step = 0.000488281
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 1.88236e-16, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.000158993, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 6.45114e-08, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 4.28845e-07, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1.1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 4.28828e-08, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.28968e-09, sNorm = 0.510518
...-->Linear search: Min = -1.61988e+06, step = 1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 4.13669e-13, sNorm = 0.510518
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00035048, sNorm = 0.510775
...-->Linear search: Min = -1.61991e+06, step = 0.485118
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000340576, sNorm = 0.510891
...-->Linear search: Min = -1.61991e+06, step = 0.00390625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.000329373, sNorm = 0.510884
...-->Linear search: Min = -1.61991e+06, step = 0.000488281
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 2.03352e-16, sNorm = 0.510644
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0175379, sNorm = 0.49798
...-->Linear search: Min = -1.61855e+06, step = 0.951195
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000307544, sNorm = 0.498395
...-->Linear search: Min = -1.61855e+06, step = 1.04887
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.000141804, sNorm = 0.498283
...-->Linear search: Min = -1.61855e+06, step = 0.999683
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 2.15198e-08, sNorm = 0.498283
...-->Linear search: Min = -1.61855e+06, step = 1.47863
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.03003e-08, sNorm = 0.498283
...-->Linear search: Min = -1.61855e+06, step = 1.1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.02997e-09, sNorm = 0.498283
...-->Linear search: Min = -1.61855e+06, step = 1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 1.02986e-10, sNorm = 0.498283
...-->Linear search: Min = -1.61855e+06, step = 1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.34546e-14, sNorm = 0.498283
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0207489, sNorm = 0.479583
...-->Linear search: Min = -1.61855e+06, step = 0.962044
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000531919, sNorm = 0.479815
...-->Linear search: Min = -1.61855e+06, step = 1.04367
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.000177033, sNorm = 0.479635
...-->Linear search: Min = -1.61855e+06, step = 0.999616
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 8.37201e-09, sNorm = 0.479635
...-->Linear search: Min = -1.61855e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 2.62619e-12, sNorm = 0.479635
...-->Linear search: Min = -1.61855e+06, step = 1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 5.63696e-12, sNorm = 0.479635
...-->Linear search: Min = -1.61855e+06, step = 1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.88016e-12, sNorm = 0.479635
...-->Linear search: Min = -1.61855e+06, step = 0.9375
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 4.03348e-12, sNorm = 0.479635
...-->Linear search: Min = -1.61855e+06, step = 1.05
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.80182e-12, sNorm = 0.479635
...-->Linear search: Min = -1.61855e+06, step = 0.975
...-->Linear search: Convergence detected.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0369564, sNorm = 0.44675
...-->Linear search: Min = -1.6172e+06, step = 0.926212
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00137483, sNorm = 0.447955
...-->Linear search: Min = -1.6172e+06, step = 1.04532
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.000146531, sNorm = 0.447771
...-->Linear search: Min = -1.6172e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 2.85709e-08, sNorm = 0.447771
...-->Linear search: Min = -1.6172e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 3.46833e-13, sNorm = 0.447771
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0343021, sNorm = 0.417289
...-->Linear search: Min = -1.61586e+06, step = 0.936998
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00126626, sNorm = 0.418158
...-->Linear search: Min = -1.61586e+06, step = 1.02639
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 6.62076e-05, sNorm = 0.418072
...-->Linear search: Min = -1.61586e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 7.02202e-09, sNorm = 0.418072
...-->Linear search: Min = -1.61586e+06, step = 0.975
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.7568e-10, sNorm = 0.418072
...-->Linear search: Min = -1.61586e+06, step = 1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 3.73996e-13, sNorm = 0.418072
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0322285, sNorm = 0.389518
...-->Linear search: Min = -1.61453e+06, step = 0.943779
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00117213, sNorm = 0.39021
...-->Linear search: Min = -1.61453e+06, step = 1.01669
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 3.61283e-05, sNorm = 0.390163
...-->Linear search: Min = -1.61453e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 2.29002e-09, sNorm = 0.390163
...-->Linear search: Min = -1.61453e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.23333e-13, sNorm = 0.390163
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0305278, sNorm = 0.363284
...-->Linear search: Min = -1.61321e+06, step = 0.947787
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00104647, sNorm = 0.363918
...-->Linear search: Min = -1.61321e+06, step = 1.0103
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.02387e-05, sNorm = 0.363893
...-->Linear search: Min = -1.61321e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 7.21012e-10, sNorm = 0.363893
...-->Linear search: Min = -1.61321e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 2.93239e-13, sNorm = 0.363893
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0277095, sNorm = 0.340363
...-->Linear search: Min = -1.6119e+06, step = 0.00390625
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.027597, sNorm = 0.340367
...-->Linear search: Min = -1.6119e+06, step = 0.000488281
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.0275829, sNorm = 0.340368
...-->Linear search: Min = -1.6119e+06, step = 0.00012207
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.0275793, sNorm = 0.340368
...-->Linear search: Min = -1.6119e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.028838, sNorm = 0.338657
...-->Linear search: Min = -1.6119e+06, step = 0.949699
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000867906, sNorm = 0.339314
...-->Linear search: Min = -1.6119e+06, step = 1.00595
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 1.07053e-05, sNorm = 0.339301
...-->Linear search: Min = -1.6119e+06, step = 0.9875
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.33659e-07, sNorm = 0.339301
...-->Linear search: Min = -1.6119e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.16385e-14, sNorm = 0.339301
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0276971, sNorm = 0.315395
...-->Linear search: Min = -1.6106e+06, step = 0.945187
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.0010407, sNorm = 0.316505
...-->Linear search: Min = -1.6106e+06, step = 0.739396
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.000324067, sNorm = 0.316509
...-->Linear search: Min = -1.6106e+06, step = 0.633161
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 8.56059e-05, sNorm = 0.316463
...-->Linear search: Min = -1.6106e+06, step = 1.03226
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 5.91587e-06, sNorm = 0.316461
...-->Linear search: Min = -1.6106e+06, step = 1.02782
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.70926e-07, sNorm = 0.316461
...-->Linear search: Min = -1.6106e+06, step = 0.975781
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 4.13339e-09, sNorm = 0.316461
...-->Linear search: Min = -1.6106e+06, step = 1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 3.66414e-11, sNorm = 0.316461
...-->Linear search: Min = -1.6106e+06, step = 1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 1.20385e-11, sNorm = 0.316461
...-->Linear search: Min = -1.6106e+06, step = 0.95625
...-->Solving quadratic minimization Iter: 10.
...-->rNorm = 1.28855e-11, sNorm = 0.316461
...-->Linear search: Min = -1.6106e+06, step = 1
...-->Solving quadratic minimization Iter: 11.
...-->rNorm = 4.31484e-11, sNorm = 0.316461
...-->Linear search: Min = -1.6106e+06, step = 1.05
...-->Linear search: Convergence detected.
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.228132, sNorm = 0.375663
...-->Linear search: Min = -1.6106e+06, step = 0.000976562
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.227304, sNorm = 0.375319
...-->Linear search: Min = -1.6106e+06, step = 0.000244141
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.227139, sNorm = 0.375257
...-->Linear search: Min = -1.6106e+06, step = 6.10352e-05
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.227105, sNorm = 0.375246
...-->Linear search: Min = -1.6106e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.227007, sNorm = 0.375194
...-->Linear search: Min = -1.6106e+06, step = 9.53674e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00553291, sNorm = 0.3148
...-->Linear search: Min = -1.6106e+06, step = 0.873725
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000235669, sNorm = 0.314826
...-->Linear search: Min = -1.6106e+06, step = 1.10632
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 4.95784e-05, sNorm = 0.314807
...-->Linear search: Min = -1.6106e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 6.37891e-08, sNorm = 0.314807
...-->Linear search: Min = -1.6106e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 6.82715e-12, sNorm = 0.314807
...-->Linear search: Min = -1.6106e+06, step = 1.25
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.4234e-12, sNorm = 0.314807
...-->Linear search: Min = -1.6106e+06, step = 1.05
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 1.09972e-13, sNorm = 0.314807
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.268823, sNorm = 0.382944
...-->Linear search: Min = -1.6093e+06, step = 6.10352e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.268242, sNorm = 0.382563
...-->Linear search: Min = -1.6093e+06, step = 4.76837e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0274103, sNorm = 0.291286
...-->Linear search: Min = -1.60931e+06, step = 0.937736
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000367457, sNorm = 0.292476
...-->Linear search: Min = -1.60931e+06, step = 1.00726
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 8.1853e-05, sNorm = 0.292447
...-->Linear search: Min = -1.60931e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.14837e-07, sNorm = 0.292447
...-->Linear search: Min = -1.60931e+06, step = 1.125
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.43551e-08, sNorm = 0.292447
...-->Linear search: Min = -1.60931e+06, step = 1.475
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 6.81864e-09, sNorm = 0.292447
...-->Linear search: Min = -1.60931e+06, step = 1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 6.81782e-10, sNorm = 0.292447
...-->Linear search: Min = -1.60931e+06, step = 1.1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 6.80398e-11, sNorm = 0.292447
...-->Linear search: Min = -1.60931e+06, step = 1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 3.82529e-13, sNorm = 0.292447
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.285603, sNorm = 0.384986
...-->Linear search: Min = -1.60802e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.285585, sNorm = 0.384979
...-->Linear search: Min = -1.60802e+06, step = 1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.285575, sNorm = 0.384976
...-->Linear search: Min = -1.60802e+06, step = 7.62939e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.28557, sNorm = 0.384974
...-->Linear search: Min = -1.60802e+06, step = 3.8147e-06
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.285566, sNorm = 0.384971
...-->Linear search: Min = -1.60802e+06, step = 9.53674e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0247688, sNorm = 0.271725
...-->Linear search: Min = -1.60802e+06, step = 0.943191
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000306024, sNorm = 0.272707
...-->Linear search: Min = -1.60802e+06, step = 1.00569
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.91837e-05, sNorm = 0.272697
...-->Linear search: Min = -1.60802e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.32811e-08, sNorm = 0.272697
...-->Linear search: Min = -1.60802e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.48724e-13, sNorm = 0.272697
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.298184, sNorm = 0.387123
...-->Linear search: Min = -1.60674e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.298163, sNorm = 0.387114
...-->Linear search: Min = -1.60674e+06, step = 1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.298151, sNorm = 0.387109
...-->Linear search: Min = -1.60674e+06, step = 7.62939e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.298143, sNorm = 0.387104
...-->Linear search: Min = -1.60674e+06, step = 1.90735e-06
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0225158, sNorm = 0.254416
...-->Linear search: Min = -1.60674e+06, step = 0.947401
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000262232, sNorm = 0.255242
...-->Linear search: Min = -1.60674e+06, step = 1.00444
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 1.40806e-05, sNorm = 0.255237
...-->Linear search: Min = -1.60674e+06, step = 1.00016
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 4.85759e-09, sNorm = 0.255237
...-->Linear search: Min = -1.60674e+06, step = 1.3625
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.76112e-09, sNorm = 0.255237
...-->Linear search: Min = -1.60674e+06, step = 1.1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.76302e-10, sNorm = 0.255237
...-->Linear search: Min = -1.60674e+06, step = 1.475
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 8.39481e-11, sNorm = 0.255237
...-->Linear search: Min = -1.60674e+06, step = 1.05
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 4.40427e-12, sNorm = 0.255237
...-->Linear search: Min = -1.60674e+06, step = 1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 2.83252e-13, sNorm = 0.255237
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.314143, sNorm = 0.394427
...-->Linear search: Min = -1.60547e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.314117, sNorm = 0.394414
...-->Linear search: Min = -1.60547e+06, step = 1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.314102, sNorm = 0.394405
...-->Linear search: Min = -1.60547e+06, step = 3.8147e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.314099, sNorm = 0.394404
...-->Linear search: Min = -1.60547e+06, step = 1.90735e-06
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.314097, sNorm = 0.394403
...-->Linear search: Min = -1.60547e+06, step = 9.53674e-07
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 0.314097, sNorm = 0.394403
...-->Linear search: Min = -1.60547e+06, step = 4.76837e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0205705, sNorm = 0.239117
...-->Linear search: Min = -1.60547e+06, step = 0.950943
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000233773, sNorm = 0.239821
...-->Linear search: Min = -1.60547e+06, step = 1.0038
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 8.05864e-06, sNorm = 0.239819
...-->Linear search: Min = -1.60547e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 8.5012e-10, sNorm = 0.239819
...-->Linear search: Min = -1.60547e+06, step = 1.1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 8.48928e-11, sNorm = 0.239819
...-->Linear search: Min = -1.60547e+06, step = 1.175
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.48008e-11, sNorm = 0.239819
...-->Linear search: Min = -1.60547e+06, step = 1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 1.52832e-12, sNorm = 0.239819
...-->Linear search: Min = -1.60547e+06, step = 0.9875
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.12298e-13, sNorm = 0.239819
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.32092, sNorm = 0.396237
...-->Linear search: Min = -1.6042e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.320893, sNorm = 0.396222
...-->Linear search: Min = -1.6042e+06, step = 1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.320874, sNorm = 0.396211
...-->Linear search: Min = -1.6042e+06, step = 3.8147e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.320871, sNorm = 0.396209
...-->Linear search: Min = -1.6042e+06, step = 1.90735e-06
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0188722, sNorm = 0.225638
...-->Linear search: Min = -1.6042e+06, step = 0.95404
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000220343, sNorm = 0.226243
...-->Linear search: Min = -1.6042e+06, step = 1.0036
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.22842e-06, sNorm = 0.226242
...-->Linear search: Min = -1.6042e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 3.24297e-10, sNorm = 0.226242
...-->Linear search: Min = -1.6042e+06, step = 1.0375
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.22278e-11, sNorm = 0.226242
...-->Linear search: Min = -1.6042e+06, step = 0.975
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 3.47489e-13, sNorm = 0.226242
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.326317, sNorm = 0.39824
...-->Linear search: Min = -1.60294e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.326287, sNorm = 0.398223
...-->Linear search: Min = -1.60294e+06, step = 1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.326266, sNorm = 0.39821
...-->Linear search: Min = -1.60294e+06, step = 3.8147e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.326262, sNorm = 0.398207
...-->Linear search: Min = -1.60294e+06, step = 9.53674e-07
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.32626, sNorm = 0.398205
...-->Linear search: Min = -1.60294e+06, step = 4.76837e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0173741, sNorm = 0.213824
...-->Linear search: Min = -1.60294e+06, step = 0.956859
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000222077, sNorm = 0.214349
...-->Linear search: Min = -1.60294e+06, step = 1.00348
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 3.79612e-06, sNorm = 0.214348
...-->Linear search: Min = -1.60294e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.5153e-10, sNorm = 0.214348
...-->Linear search: Min = -1.60294e+06, step = 0.96875
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.77838e-12, sNorm = 0.214348
...-->Linear search: Min = -1.60294e+06, step = 1.125
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 6.94775e-13, sNorm = 0.214348
...-->Linear search: Min = -1.60294e+06, step = 1.1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 2.28373e-13, sNorm = 0.214348
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.331532, sNorm = 0.401193
...-->Linear search: Min = -1.60168e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.3315, sNorm = 0.401174
...-->Linear search: Min = -1.60168e+06, step = 1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.331476, sNorm = 0.401158
...-->Linear search: Min = -1.60168e+06, step = 3.8147e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.331469, sNorm = 0.401153
...-->Linear search: Min = -1.60168e+06, step = 9.53674e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0160407, sNorm = 0.20355
...-->Linear search: Min = -1.60169e+06, step = 0.959481
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000238732, sNorm = 0.204008
...-->Linear search: Min = -1.60169e+06, step = 1.00347
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 3.04881e-06, sNorm = 0.204008
...-->Linear search: Min = -1.60169e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 8.65169e-11, sNorm = 0.204008
...-->Linear search: Min = -1.60169e+06, step = 1.0375
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 3.25021e-12, sNorm = 0.204008
...-->Linear search: Min = -1.60169e+06, step = 1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.08698e-13, sNorm = 0.204008
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.338124, sNorm = 0.40631
...-->Linear search: Min = -1.60043e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.33809, sNorm = 0.406289
...-->Linear search: Min = -1.60043e+06, step = 1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.338061, sNorm = 0.406268
...-->Linear search: Min = -1.60043e+06, step = 3.8147e-06
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0148458, sNorm = 0.194713
...-->Linear search: Min = -1.60044e+06, step = 0.961964
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000268929, sNorm = 0.195117
...-->Linear search: Min = -1.60044e+06, step = 1.00363
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.65445e-06, sNorm = 0.195117
...-->Linear search: Min = -1.60044e+06, step = 0.958594
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.09865e-07, sNorm = 0.195117
...-->Linear search: Min = -1.60044e+06, step = 1.25
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 2.74663e-08, sNorm = 0.195117
...-->Linear search: Min = -1.60044e+06, step = 0.975
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 6.8672e-10, sNorm = 0.195117
...-->Linear search: Min = -1.60044e+06, step = 1
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 6.70537e-14, sNorm = 0.195117
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.348318, sNorm = 0.415529
...-->Linear search: Min = -1.59919e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.348281, sNorm = 0.415506
...-->Linear search: Min = -1.59919e+06, step = 1.52588e-05
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.348241, sNorm = 0.415474
...-->Linear search: Min = -1.59919e+06, step = 1.90735e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.348239, sNorm = 0.415473
...-->Linear search: Min = -1.59919e+06, step = 9.53674e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0137714, sNorm = 0.18723
...-->Linear search: Min = -1.59919e+06, step = 0.96438
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000310314, sNorm = 0.187591
...-->Linear search: Min = -1.59919e+06, step = 1.00349
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.49733e-06, sNorm = 0.187591
...-->Linear search: Min = -1.59919e+06, step = 0.975
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 6.23922e-08, sNorm = 0.187591
...-->Linear search: Min = -1.59919e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.37541e-13, sNorm = 0.187591
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00105671, sNorm = 0.187185
...-->Linear search: Min = -1.59919e+06, step = 0.981509
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 4.52746e-06, sNorm = 0.18719
...-->Linear search: Min = -1.59919e+06, step = 1.0055
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 1.0592e-06, sNorm = 0.18719
...-->Linear search: Min = -1.59919e+06, step = 0.977734
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 2.35731e-08, sNorm = 0.18719
...-->Linear search: Min = -1.59919e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 9.22649e-14, sNorm = 0.18719
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.522878, sNorm = 0.576334
...-->Linear search: Min = -1.59795e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.522398, sNorm = 0.57589
...-->Linear search: Min = -1.59795e+06, step = 9.53674e-07
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.522395, sNorm = 0.575888
...-->Linear search: Min = -1.59795e+06, step = 4.76837e-07
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.522395, sNorm = 0.575888
...-->Linear search: Min = -1.59795e+06, step = 2.38419e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0167774, sNorm = 0.178445
...-->Linear search: Min = -1.59795e+06, step = 0.890167
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000575435, sNorm = 0.179114
...-->Linear search: Min = -1.59795e+06, step = 0.988619
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 1.93079e-05, sNorm = 0.179109
...-->Linear search: Min = -1.59795e+06, step = 0.999818
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 3.1254e-09, sNorm = 0.179109
...-->Linear search: Min = -1.59795e+06, step = 1.0375
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.17205e-10, sNorm = 0.179109
...-->Linear search: Min = -1.59795e+06, step = 1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.69764e-14, sNorm = 0.179109
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0262498, sNorm = 0.169043
...-->Linear search: Min = -1.59672e+06, step = 0.000488281
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.0262006, sNorm = 0.169047
...-->Linear search: Min = -1.59672e+06, step = 0.000244141
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.0261762, sNorm = 0.169049
...-->Linear search: Min = -1.59672e+06, step = 6.10352e-05
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0141154, sNorm = 0.172552
...-->Linear search: Min = -1.59672e+06, step = 0.900479
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000439145, sNorm = 0.173016
...-->Linear search: Min = -1.59672e+06, step = 0.996841
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.55859e-06, sNorm = 0.173015
...-->Linear search: Min = -1.59672e+06, step = 1.00066
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 1.66582e-09, sNorm = 0.173015
...-->Linear search: Min = -1.59672e+06, step = 1.25
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 4.16569e-10, sNorm = 0.173015
...-->Linear search: Min = -1.59672e+06, step = 1.1
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 4.16819e-11, sNorm = 0.173015
...-->Linear search: Min = -1.59672e+06, step = 1.475
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 1.98525e-11, sNorm = 0.173015
...-->Linear search: Min = -1.59672e+06, step = 1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 1.80502e-13, sNorm = 0.173015
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0149293, sNorm = 0.169942
...-->Linear search: Min = -1.59672e+06, step = -0.805627
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00371983, sNorm = 0.175819
...-->Linear search: Min = -1.59672e+06, step = 0.762097
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.00103178, sNorm = 0.175882
...-->Linear search: Min = -1.59672e+06, step = 0.565885
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.00030998, sNorm = 0.175794
...-->Linear search: Min = -1.59672e+06, step = 0.93352
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 2.85657e-05, sNorm = 0.175788
...-->Linear search: Min = -1.59672e+06, step = 1.04178
...-->Solving quadratic minimization Iter: 6.
...-->rNorm = 1.24929e-06, sNorm = 0.175787
...-->Linear search: Min = -1.59672e+06, step = 0.96875
...-->Solving quadratic minimization Iter: 7.
...-->rNorm = 3.91712e-08, sNorm = 0.175787
...-->Linear search: Min = -1.59672e+06, step = 1.1
...-->Solving quadratic minimization Iter: 8.
...-->rNorm = 3.917e-09, sNorm = 0.175787
...-->Linear search: Min = -1.59672e+06, step = 1
...-->Solving quadratic minimization Iter: 9.
...-->rNorm = 1.96913e-13, sNorm = 0.175787
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.410984, sNorm = 0.471505
...-->Linear search: Min = -1.5955e+06, step = 3.05176e-05
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.410911, sNorm = 0.471448
...-->Linear search: Min = -1.5955e+06, step = 7.62939e-06
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.410896, sNorm = 0.471436
...-->Linear search: Min = -1.5955e+06, step = 1.90735e-06
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.410893, sNorm = 0.471435
...-->Linear search: Min = -1.5955e+06, step = 9.53674e-07
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.410891, sNorm = 0.471433
...-->Linear search: Min = -1.5955e+06, step = 4.76837e-07
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0129561, sNorm = 0.171814
...-->Linear search: Min = -1.5955e+06, step = 0.125
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.0108642, sNorm = 0.171694
...-->Linear search: Min = -1.5955e+06, step = 0.0625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.0100299, sNorm = 0.171667
...-->Linear search: Min = -1.5955e+06, step = 0.00390625
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.00998264, sNorm = 0.171665
...-->Linear search: Min = -1.5955e+06, step = 0.000976562
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00997503, sNorm = 0.171376
...-->Linear search: Min = -1.5955e+06, step = 0.870726
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000738982, sNorm = 0.171482
...-->Linear search: Min = -1.5955e+06, step = 1.00288
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.92934e-06, sNorm = 0.171483
...-->Linear search: Min = -1.5955e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 6.96925e-10, sNorm = 0.171483
...-->Linear search: Min = -1.5955e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.4857e-13, sNorm = 0.171483
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.0104256, sNorm = 0.168174
...-->Linear search: Min = -1.59428e+06, step = 0.0078125
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.0103287, sNorm = 0.168174
...-->Linear search: Min = -1.59428e+06, step = 0.00390625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.0102808, sNorm = 0.168174
...-->Linear search: Min = -1.59428e+06, step = 0.000488281
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.0102749, sNorm = 0.168174
...-->Linear search: Min = -1.59428e+06, step = 0.000244141
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.010358, sNorm = 0.167893
...-->Linear search: Min = -1.59428e+06, step = 0.874994
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000646596, sNorm = 0.168043
...-->Linear search: Min = -1.59428e+06, step = 1.00319
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 5.20902e-06, sNorm = 0.168044
...-->Linear search: Min = -1.59428e+06, step = 1
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 4.18767e-10, sNorm = 0.168044
...-->Linear search: Min = -1.59428e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.73645e-13, sNorm = 0.168044
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00884526, sNorm = 0.165435
...-->Linear search: Min = -1.59307e+06, step = 0.0078125
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00876542, sNorm = 0.165436
...-->Linear search: Min = -1.59307e+06, step = 0.00390625
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.0087259, sNorm = 0.165437
...-->Linear search: Min = -1.59307e+06, step = 0.00195312
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.00870624, sNorm = 0.165437
...-->Linear search: Min = -1.59307e+06, step = 0.000976562
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.00869643, sNorm = 0.165437
...-->Linear search: Min = -1.59307e+06, step = 0.000244141
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00880465, sNorm = 0.165224
...-->Linear search: Min = -1.59307e+06, step = 0.896153
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.000403152, sNorm = 0.165349
...-->Linear search: Min = -1.59307e+06, step = 1.00264
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 2.4269e-06, sNorm = 0.165349
...-->Linear search: Min = -1.59307e+06, step = 0.975
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 6.07283e-08, sNorm = 0.165349
...-->Linear search: Min = -1.59307e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 1.39529e-13, sNorm = 0.165349
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00768212, sNorm = 0.163287
...-->Linear search: Min = -1.59186e+06, step = 0.015625
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00754566, sNorm = 0.163289
...-->Linear search: Min = -1.59186e+06, step = 0.00195312
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 0.00752892, sNorm = 0.163289
...-->Linear search: Min = -1.59186e+06, step = 0.000976562
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 0.00752057, sNorm = 0.16329
...-->Linear search: Min = -1.59186e+06, step = 0.000488281
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 0.0075164, sNorm = 0.16329
...-->Linear search: Min = -1.59186e+06, step = 0.000244141
...-->Solving quadratic minimization Iter: 1.
...-->rNorm = 0.00761617, sNorm = 0.163138
...-->Linear search: Min = -1.59186e+06, step = 0.909655
...-->Solving quadratic minimization Iter: 2.
...-->rNorm = 0.00027551, sNorm = 0.163235
...-->Linear search: Min = -1.59186e+06, step = 1.00211
...-->Solving quadratic minimization Iter: 3.
...-->rNorm = 1.29701e-06, sNorm = 0.163235
...-->Linear search: Min = -1.59186e+06, step = 0.975
...-->Solving quadratic minimization Iter: 4.
...-->rNorm = 3.24409e-08, sNorm = 0.163235
...-->Linear search: Min = -1.59186e+06, step = 1
...-->Solving quadratic minimization Iter: 5.
...-->rNorm = 3.93958e-14, sNorm = 0.163235
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Quadratic convergence was acceptable at iterQuad = 1 (rNorm = 5.89336e-12).
...Checking saturation state of potential solids.
<> 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.
...Checking saturation state of potential solids.
...Adding the solid phase plagioclase to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Dropping phase plagioclase from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Dropping phase clinopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Dropping phase clinopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Dropping phase clinopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Checking saturation state of potential solids.
...Adding the solid phase plagioclase to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
...Checking saturation state of potential solids.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Checking saturation state of potential solids.
...One of the solid phases has undergone phase separation.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
...Adding the solid phase rhm-oxide to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase spinel from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
...Adding the solid phase spinel to the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase orthopyroxene from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Dropping phase rhm-oxide from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase rhm-oxide from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase rhm-oxide from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> 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.
...Dropping phase rhm-oxide from the assemblage.
...Projecting equality constraints.
...Minimizing the thermodynamic potential.
...Checking saturation state of potential solids.
<> Stable liquid solid assemblage achieved.
Complete (time taken = 1.73 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 49.918316 2.070707 15.696471 0.0 1.912077 7.973982
2 49.875739 2.191804 15.601345 0.0 1.977080 8.340409
3 49.805640 2.319179 15.496976 0.0 2.052022 8.709545
4 49.706137 2.454368 15.381010 0.0 2.137373 9.082366
5 49.575911 2.598308 15.251672 0.0 2.233397 9.459235
6 49.414777 2.750905 15.108544 0.0 2.339881 9.839912
7 49.219690 2.918550 14.925817 0.0 2.461661 10.231516
8 49.004352 3.088018 14.732592 0.0 2.590523 10.625735
9 48.773846 3.253899 14.541610 0.0 2.723809 11.019764
10 48.530664 3.414632 14.353018 0.0 2.861772 11.414167
11 48.278166 3.568184 14.167122 0.0 3.004566 11.809070
12 48.020881 3.711914 13.984477 0.0 3.152181 12.203990
13 47.764947 3.842393 13.806014 0.0 3.304346 12.597572
14 47.518717 3.955171 13.633226 0.0 3.460370 12.987197
15 47.293595 4.044481 13.468439 0.0 3.618902 13.368374
16 47.181548 4.037373 13.333347 0.0 3.775375 13.721394
17 47.470040 3.691448 13.307419 0.0 3.914127 13.969153
18 50.414173 3.047917 14.145512 0.0 2.840790 12.110978
19 51.597134 2.721760 14.390915 0.0 2.509631 11.470868
20 52.473649 2.474405 14.553822 0.0 2.286410 10.993024
21 53.191203 2.273977 14.679952 0.0 2.113134 10.585519
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 9.694457 0.0 7.748158 11.289518 3.146020 0.031711 0.0
2 10.119372 0.0 7.628839 10.863764 3.258687 0.033702 0.0
3 10.555941 0.0 7.500238 10.469310 3.365950 0.035768 0.0
4 11.005560 0.0 7.361322 10.107939 3.468069 0.037919 0.0
5 11.468831 0.0 7.212579 9.780547 3.564988 0.040157 0.0
6 11.945322 0.0 7.056518 9.486131 3.656248 0.042473 0.0
7 12.446502 0.0 6.863507 9.255948 3.749153 0.044989 0.0
8 12.956670 0.0 6.668477 9.050287 3.836840 0.047542 0.0
9 13.470629 0.0 6.485461 8.851504 3.916551 0.050060 0.0
10 13.989171 0.0 6.312840 8.658268 3.989185 0.052537 0.0
11 14.512559 0.0 6.148885 8.469145 4.055820 0.054969 0.0
12 15.040301 0.0 5.991687 8.282555 4.117791 0.057353 0.0
13 15.570801 0.0 5.839061 8.096715 4.176804 0.059689 0.0
14 16.100815 0.0 5.688424 7.909589 4.235098 0.061980 0.0
15 16.624638 0.0 5.536651 7.718815 4.295664 0.064240 0.0
16 17.118451 0.0 5.359281 7.496729 4.388991 0.066814 0.0
17 17.491058 0.0 5.085896 7.153741 4.623500 0.070901 0.0
18 14.667102 0.0 4.398470 6.869809 5.238400 0.084068 0.0
19 13.729018 0.0 4.068742 6.614091 5.573611 0.091878 0.0
20 13.050320 0.0 3.813646 6.385215 5.850547 0.098702 0.0
21 12.486903 0.0 3.601201 6.177869 6.092248 0.104969 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 0.213039 0.0 0.177470
2 0.228630 0.0 0.175798
3 0.245371 0.0 0.174915
4 0.263497 0.0 0.174747
5 0.283206 0.0 0.175222
6 0.304610 0.0 0.176254
7 0.329170 0.0 0.177961
8 0.355633 0.0 0.179902
9 0.383497 0.0 0.181941
10 0.412917 0.0 0.184071
11 0.444073 0.0 0.186286
12 0.477172 0.0 0.188581
13 0.512459 0.0 0.190949
14 0.550227 0.0 0.193383
15 0.590839 0.0 0.195870
16 0.639148 0.0 0.198444
17 0.713775 0.0 0.201355
18 0.849885 0.0 0.174276
19 0.961371 0.0 0.164480
20 1.070581 0.0 0.157643
21 1.179929 0.0 0.152270
22 1.290204 0.0 0.147901
[ ]: