Started by upstream project "gplibrary_Push_Models" build number 179
originally caused by:
Started by upstream project "gpkit_Push" build number 646
originally caused by:
Started by GitHub push by bqpd
Running as SYSTEM
[EnvInject] - Loading node environment variables.
Building remotely on windows7x64 in workspace D:\jenkins\workspace\gplibrary_Push_Models\mosek
No credentials specified
Wiping out workspace first.
Cloning the remote Git repository
Cloning repository https://github.com/convexengineering/gplibrary
> git init D:\jenkins\workspace\gplibrary_Push_Models\mosek # timeout=10
Fetching upstream changes from https://github.com/convexengineering/gplibrary
> git --version # timeout=10
> git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/heads/*:refs/remotes/origin/* # timeout=10
> git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10
> git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
> git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10
Fetching upstream changes from https://github.com/convexengineering/gplibrary
> git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/pull/*:refs/remotes/origin/pr/* +refs/heads/master:refs/remotes/origin/master # timeout=10
Checking out Revision 62fd801e15375d0c0a052852b3f9d7633674eda8 (origin/master)
> git config core.sparsecheckout # timeout=10
> git checkout -f 62fd801e15375d0c0a052852b3f9d7633674eda8 # timeout=3
Commit message: "SimPleAC update (new model that doesn't solve on cvxopt) (#175)"
> git rev-list --no-walk 62fd801e15375d0c0a052852b3f9d7633674eda8 # timeout=10
Run condition [Execution node ] enabling prebuild for step [Execute shell]
Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command]
[Execution node] check if [windows7x64] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]]
Run condition [Execution node ] preventing perform for step [Execute shell]
[Execution node] check if [windows7x64] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] enabling perform for step [Execute Windows batch command]
[mosek] $ cmd /c call C:\Users\jenkins\AppData\Local\Temp\jenkins2251125594749322521.bat
D:\jenkins\workspace\gplibrary_Push_Models\mosek>echo C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;%CommonProgramFiles%\Microsoft Shared\Windows Live;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\Microsoft SQL Server\110\Tools\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\Microsoft SDKs\TypeScript\1.0\;C:\Program Files\Microsoft\Web Platform Installer\;C:\Program Files\Mosek\7\tools\platform\win64x86\bin;D:\Anaconda2;D:\Anaconda2\Scripts;D:\Anaconda2\Library\bin;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Program Files\mingw-w64\x86_64-6.3.0-posix-seh-rt_v5-rev1\mingw64\bin;D:\Git\cmd
C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;%CommonProgramFiles%\Microsoft Shared\Windows Live;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\Microsoft SQL Server\110\Tools\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\Microsoft SDKs\TypeScript\1.0\;C:\Program Files\Microsoft\Web Platform Installer\;C:\Program Files\Mosek\7\tools\platform\win64x86\bin;D:\Anaconda2;D:\Anaconda2\Scripts;D:\Anaconda2\Library\bin;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Program Files\mingw-w64\x86_64-6.3.0-posix-seh-rt_v5-rev1\mingw64\bin;D:\Git\cmd
D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM turn on the anaconda console
D:\jenkins\workspace\gplibrary_Push_Models\mosek>call activate.bat || exit /b 666
(base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM Create a virtualenv to install everything into
(base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>SET VENV=D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit
(base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>virtualenv --system-site-packages D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit || exit /b 666
New python executable in D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts\python.exe
Installing setuptools, pip, wheel...done.
(base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>call D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts\activate.bat || exit /b 666
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>set PATH=C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts;D:\Anaconda2;D:\Anaconda2\Library\mingw-w64\bin;D:\Anaconda2\Library\usr\bin;D:\Anaconda2\Library\bin;D:\Anaconda2\Scripts;D:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\Microsoft SQL Server\110\Tools\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\Microsoft SDKs\TypeScript\1.0\;C:\Program Files\Microsoft\Web Platform Installer\;C:\Program Files\Mosek\7\tools\platform\win64x86\bin;D:\Anaconda2;D:\Anaconda2\Scripts;D:\Anaconda2\Library\bin;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Program Files\mingw-w64\x86_64-6.3.0-posix-seh-rt_v5-rev1\mingw64\bin;D:\Git\cmd
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM set PATH=C:\mingw-w64\x86_64-7.3.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts;D:\Anaconda2;D:\Anaconda2\Library\mingw-w64\bin;D:\Anaconda2\Library\usr\bin;D:\Anaconda2\Library\bin;D:\Anaconda2\Scripts;D:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\Microsoft SQL Server\110\Tools\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\Microsoft SDKs\TypeScript\1.0\;C:\Program Files\Microsoft\Web Platform Installer\;C:\Program Files\Mosek\7\tools\platform\win64x86\bin;D:\Anaconda2;D:\Anaconda2\Scripts;D:\Anaconda2\Library\bin;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Program Files\mingw-w64\x86_64-6.3.0-posix-seh-rt_v5-rev1\mingw64\bin;D:\Git\cmd
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>gcc --version
gcc (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 6.4.0
Copyright (C) 2017 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM Update pip
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>python -m pip install --upgrade pip
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already up-to-date: pip in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (19.2.1)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM Install dependencies
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade xmlrunner
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already up-to-date: xmlrunner in d:\anaconda2\lib\site-packages (1.7.7)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade pint
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already up-to-date: pint in d:\anaconda2\lib\site-packages (0.9)
Requirement already satisfied, skipping upgrade: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint) (1.0.2)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade numpy
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already up-to-date: numpy in d:\anaconda2\lib\site-packages (1.16.4)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade scipy
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already up-to-date: scipy in d:\anaconda2\lib\site-packages (1.2.2)
Requirement already satisfied, skipping upgrade: numpy>=1.8.2 in d:\anaconda2\lib\site-packages (from scipy) (1.16.4)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade ctypesgen
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already up-to-date: ctypesgen in d:\anaconda2\lib\site-packages (0.post125)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade pandas
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already up-to-date: pandas in d:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied, skipping upgrade: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied, skipping upgrade: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied, skipping upgrade: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied, skipping upgrade: six>=1.5 in d:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade matplotlib
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already up-to-date: matplotlib in d:\anaconda2\lib\site-packages (2.2.4)
Requirement already satisfied, skipping upgrade: backports.functools-lru-cache in d:\anaconda2\lib\site-packages (from matplotlib) (1.4)
Requirement already satisfied, skipping upgrade: six>=1.10 in d:\anaconda2\lib\site-packages (from matplotlib) (1.11.0)
Requirement already satisfied, skipping upgrade: pytz in d:\anaconda2\lib\site-packages (from matplotlib) (2017.3)
Requirement already satisfied, skipping upgrade: cycler>=0.10 in d:\anaconda2\lib\site-packages (from matplotlib) (0.10.0)
Requirement already satisfied, skipping upgrade: kiwisolver>=1.0.1 in d:\anaconda2\lib\site-packages (from matplotlib) (1.0.1)
Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in d:\anaconda2\lib\site-packages (from matplotlib) (2.6.1)
Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in d:\anaconda2\lib\site-packages (from matplotlib) (2.2.0)
Requirement already satisfied, skipping upgrade: numpy>=1.7.1 in d:\anaconda2\lib\site-packages (from matplotlib) (1.16.4)
Requirement already satisfied, skipping upgrade: setuptools in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from kiwisolver>=1.0.1->matplotlib) (41.0.1)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == mosek msktestlic || exit /b 666
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : min
Type : LO (linear optimization problem)
Constraints : 1
Cones : 0
Scalar variables : 5000
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator - tries : 0 time : 0.00
Eliminator - elim's : 0
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.00
Interior-point optimizer terminated. Time: 0.00.
Optimizer terminated. Time: 0.50
************************************
A license was checked out correctly.
************************************
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>SET GPKITBUILD=D:\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>gcc --version || exit /b 666
gcc (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 6.4.0
Copyright (C) 2017 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == mosek (
msktestlic || exit /b 666
python -c "__import__('mosek').Env()" || exit /b 666
set GPKITSOLVERS=mosek, mosek_cli
)
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : min
Type : LO (linear optimization problem)
Constraints : 1
Cones : 0
Scalar variables : 5000
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator - tries : 0 time : 0.00
Eliminator - elim's : 0
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.00
Interior-point optimizer terminated. Time: 0.00.
Optimizer terminated. Time: 1.08
************************************
A license was checked out correctly.
************************************
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == cvxopt (
pip install --upgrade cvxopt || exit /b 666
set GPKITSOLVERS=cvxopt
)
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import scipy; print scipy.__version__" || exit /b 666
1.2.2
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import numpy; print numpy.__version__" || exit /b 666
1.16.4
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import pint; print pint.__version__" || exit /b 666
0.9
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM Install gpkit to run the documentation examples
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>git clone --depth 1 https://github.com/convexengineering/gpkit.git || exit /b 666
Cloning into 'gpkit'...
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Checking out files: 100% (188/188), done.
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install -e D:\jenkins\workspace\gplibrary_Push_Models\mosek\gpkit || exit /b 666
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Obtaining file:///D:/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit
Requirement already satisfied: numpy>=1.13.3 in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.16.4)
Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (0.9)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.2.2)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit==0.9.0.1) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit==0.9.0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit==0.9.0.1) (2018.0.0)
Installing collected packages: gpkit
Running setup.py develop for gpkit
Successfully installed gpkit
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>pip install -e D:\jenkins\workspace\gplibrary_Push_Models\mosek || exit /b 666
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Obtaining file:///D:/jenkins/workspace/gplibrary_Push_Models/mosek
Requirement already satisfied: numpy>=1.12 in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2)
Installing collected packages: gpkitmodels
Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM Show the settings file
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM type D:\jenkins\workspace\gplibrary_Push_Models\mosek\gpkit\env\settings
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM dir D:\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>REM Limit number of threads that be can used
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>set MSK_IPAR_NUM_THREADS=2
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>set MKL_NUM_THREADS=2
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>set NUMEXPR_NUM_THREADS=2
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>set OPENBLAS_NUM_THREADS=2
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>set OMP_NUM_THREADS=2
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)" || exit /b 666
No filename given.
Usage:
mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
................................................................................................................................................................................................................................................Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...
Attempting to find and build solvers:
# Looking for mosek
# Found C:\Program Files\Mosek\7\tools\platform\win64x86\h\mosek.h
# Found C:\Program Files\Mosek\7\tools\platform\win64x86\bin\mosek64_7_1.dll
# Found C:\Program Files\Mosek\7\tools\examples\c\scopt-ext.c
# Found C:\Program Files\Mosek\7\tools\examples\c\expopt.c
# Found C:\Program Files\Mosek\7\tools\examples\c\dgopt.c
# Found C:\Program Files\Mosek\7\tools\examples\c\scopt-ext.h
# Found C:\Program Files\Mosek\7\tools\examples\c\expopt.h
# Found C:\Program Files\Mosek\7\tools\examples\c\dgopt.h
# Found C:\Program Files\Mosek\7\tools\platform\win64x86\h\mosek.h
# Found mosek version 7, installed to C:\Program Files\Mosek
#
# Building mosek...
# Replacing directory _mosek\lib
# Replacing directory _mosek\build
# Replacing directory D:\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit
#
# Copying expopt library files to _mosek\build
# Copying C:\Program Files\Mosek\7\tools\examples\c\scopt-ext.c
# Copying C:\Program Files\Mosek\7\tools\examples\c\expopt.c
# Copying C:\Program Files\Mosek\7\tools\examples\c\dgopt.c
# Copying C:\Program Files\Mosek\7\tools\examples\c\scopt-ext.h
# Copying C:\Program Files\Mosek\7\tools\examples\c\expopt.h
# Copying C:\Program Files\Mosek\7\tools\examples\c\dgopt.h
# Copying C:\Program Files\Mosek\7\tools\platform\win64x86\h\mosek.h
#
# Applying expopt patches...
#
# Change in _mosek\build\dgopt.con line 683
# -- printf("Number of Hessian non-zeros: %d\n",nlh[0]->numhesnz)
# ++ MSK_echotask(task,MSK_STREAM_MSG,"Number of Hessian non-zeros: %d\n",n
#
# Change in _mosek\build\expopt.con line 569
# -- printf("Warning: The variable with index '%d' has only positive
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in
#
# Change in _mosek\build\expopt.con line 582
# -- printf("Warning: The variable with index '%d' has only negative
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in
#
# Change in _mosek\build\expopt.con line 1115
# -- printf ("solsta = %d, prosta = %d\n", (int)*solsta,(int)*prosta);
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "solsta = %d, prosta = %d\n",
#
# Building expopt library...
# Calling 'gcc -fpic -shared -Wl,--export-all-symbols,-R "C:\Program Files\Mosek\7\tools\platform\win64x86\bin" _mosek\build\scopt-ext.c _mosek\build\expopt.c _mosek\build\dgopt.c "C:\Program Files\Mosek\7\tools\platform\win64x86\bin\mosek64_7_1.dll" -o D:\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit\expopt.so'
##
### CALL BEGINS
### CALL ENDS
##
#
# Building Python bindings for expopt and Mosek...
# (if this fails on Windows, verify the mingw version)
# Calling 'python modified_ctypesgen.py -a -l D:/jenkins/workspace/gplibrary_Push_Models/mosek/build_gpkit/expopt.so -l "C:/Program Files/Mosek/7/tools/platform/win64x86/bin/mosek64_7_1.dll" -o _mosek\lib\expopt_h.py _mosek\build\expopt.h'
##
### CALL BEGINS
### CALL ENDS
##
# Done building mosek
# Looking for mosek_cli
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in system path
# Looking for cvxopt
# Trying to import cvxopt...
# Found cvxopt in Python path
...finished building gpkit.
Replaced found solvers ([u'mosek', u'mosek_cli', u'cvxopt']) with environment var GPKITSOLVERS (mosek, mosek_cli)
Found the following solvers: mosek, mosek_cli
# Replacing directory env
x[:] <= w
GPkit is now installed with solver(s) [u'mosek', u'mosek_cli']
To incorporate new solvers at a later date, run `gpkit.build()`.
If any tests didn't pass, please post the output above
(starting from "Found no installed solvers, beginning a build.")
to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new
so we can prevent others from having these errors.
TheCloning into 'gplibrary'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Obtaining file:///D:/jenkins/workspace/gplibrary_Push_Models/mosek/gplibrary
Installing collected packages: gpkitmodels
Found existing installation: gpkitmodels 0.0.0.0
Uninstalling gpkitmodels-0.0.0.0:
Successfully uninstalled gpkitmodels-0.0.0.0
Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
Cloning into 'shopping'...
adding test for 'test.py'
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.067 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.063 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.126 seconds.
Running tests...
----------------------------------------------------------------------
...
----------------------------------------------------------------------
Ran 3 tests in 0.558s
OK
Generating XML reports...
Cloning into 'gassolar'...
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DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied: six>=1.5 in d:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-uihztv
Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-uihztv'
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Created wheel for gpfit: filename=gpfit-0.1-cp27-none-any.whl size=25430 sha256=4399392e158c2c985cb655555d73b9811d4f9e7fe92c13a59ee8d1b2d310f663
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-ecjlba\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f
Successfully built gpfit
Installing collected packages: gpfit
Successfully installed gpfit-0.1
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Processing d:\jenkins\workspace\gplibrary_push_models\mosek\gassolar
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.2.2)
Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gassolar==0.0.0.0) (0.9.0.1)
Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.11.0)
Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3)
Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0)
Building wheels for collected packages: gassolar
Building wheel for gassolar (setup.py): started
Building wheel for gassolar (setup.py): finished with status 'done'
Created wheel for gassolar: filename=gassolar-0.0.0.0-cp27-none-any.whl size=4895586 sha256=22834fb6e3263b41d749a622acdf99f6b894b8bd81715cb2e835f9dc87d2cad4
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-r9ywqj\wheels\c8\04\cf\c7930fbaf20d02c2a1bf8e7f1e428ba917da53d01905cc6931
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0
adding test for 'gassolar/gas/gas.py'
adding test for 'gassolar/solar/solar.py'
Using solver 'mosek'
Solving for 592 variables.
Solving took 0.734 seconds.
Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Beginning signomial solve.
Solving took 4 GP solves and 0.514 seconds.
Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek'
Solving for 592 variables.
Solving took 0.165 seconds.
Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Beginning signomial solve.
Solving took 4 GP solves and 5.55 seconds.
Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek'
Solving for 1250 variables.
Solving took 0.394 seconds.
Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.3537 but bound is 150000.0000
Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.3827 but bound is 150000.0000
Beginning signomial solve.
Solving took 4 GP solves and 3.83 seconds.
Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.0510 but bound is 150000.0000
Using solver 'mosek_cli'
Solving for 1250 variables.
Solving took 0.762 seconds.
Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Beginning signomial solve.
Solving took 4 GP solves and 3.94 seconds.
Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.1793 but bound is 150000.0000
Running tests...
----------------------------------------------------------------------
D:\Anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
..
----------------------------------------------------------------------
Ran 4 tests in 37.630s
OK
Generating XML reports...
Cloning into 'jho'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied: six>=1.5 in d:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-bdbghr
Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-bdbghr'
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Created wheel for gpfit: filename=gpfit-0.1-cp27-none-any.whl size=25430 sha256=04e6630fa7193b3f3b7747b331c814c7c09a54f78c45b267a9899a7f622f29db
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-6jae4y\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f
Successfully built gpfit
adding test for 'model/jho.py'
adding test for 'model/print_perf.py'
Beginning signomial solve.
Allowing negative dual variable(s) as small as -1.836603785720925e-13.
Solving took 4 GP solves and 36.2 seconds.
Beginning signomial solve.
Allowing negative dual variable(s) as small as -1.823207e-13.
Solving took 4 GP solves and 17.8 seconds.
Allowing negative dual variable(s) as small as -8.340305876486376e-12.
Allowing negative dual variable(s) as small as -1.25949522079144e-12.
MTOW [lbs] = 141.77
Zero fuel weight [lbs] = 53.80
Wing span [ft] = 24.00
Aicraft length [ft] = 12.90
Aspect ratio = 25.60
mean aerodynamic chord [ft] = 0.9722
root chord [ft] = 1.250
speed for best rate of climb [m/s]: Vy = 21.829
speed at top of climb [m/s] = 26.626
design loiter speed [m/s] = 25.071
rotation speed at 55 lbs [m/s] = 18.185
rotation speed at 150 lbs [m/s] = 28.236
Allowing negative dual variable(s) as small as -1.2590484210761588e-12.
optimum loiter speed for min power, start of loiter [m/s] = 25.356
optimum loiter speed for min power, end of loiter [m/s] = 25.000
optimum cruise speed, inbound [m/s] = 25.637
optimum cruise speed, outbound [m/s] = 36.421
Beginning signomial solve.
Allowing negative dual variable(s) as small as -2.2597682500602467e-11.
Solving took 4 GP solves and 1.71 seconds.
Max Speed [m/s]: 74.76
Beginning signomial solve.
Solving took 4 GP solves and 4.89 seconds.
Max payload weight [lbf] = 28.242
Max take off weight [lbf] = 166.638
Allowing negative dual variable(s) as small as -8.340668e-12.
Allowing negative dual variable(s) as small as -1.259221e-12.
MTOW [lbs] = 141.77
Zero fuel weight [lbs] = 53.80
Wing span [ft] = 24.00
Aicraft length [ft] = 12.90
Aspect ratio = 25.60
mean aerodynamic chord [ft] = 0.9722
root chord [ft] = 1.250
speed for best rate of climb [m/s]: Vy = 21.829
speed at top of climb [m/s] = 26.626
design loiter speed [m/s] = 25.071
rotation speed at 55 lbs [m/s] = 18.185
rotation speed at 150 lbs [m/s] = 28.236
Allowing negative dual variable(s) as small as -1.259225e-12.
optimum loiter speed for min power, start of loiter [m/s] = 25.356
optimum loiter speed for min power, end of loiter [m/s] = 25.000
optimum cruise speed, inbound [m/s] = 25.637
optimum cruise speed, outbound [m/s] = 36.421
Beginning signomial solve.
Allowing negative dual variable(s) as small as -2.259756e-11.
Solving took 4 GP solves and 2.67 seconds.
Max Speed [m/s]: 74.76
Beginning signomial solve.
Solving took 4 GP solves and 2.01 seconds.
Max payload weight [lbf] = 28.242
Max take off weight [lbf] = 166.638
Running tests...
----------------------------------------------------------------------
D:\Anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
....
----------------------------------------------------------------------
Ran 4 tests in 99.962s
OK
Generating XML reports...
Cloning into 'turbofan'...
Checking out files: 99% (108/109)
Checking out files: 100% (109/109)
Checking out files: 100% (109/109), done.
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Processing d:\jenkins\workspace\gplibrary_push_models\mosek\turbofan
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2)
Building wheels for collected packages: turbofan
Building wheel for turbofan (setup.py): started
Building wheel for turbofan (setup.py): finished with status 'done'
Created wheel for turbofan: filename=turbofan-0.0.0.0-cp27-none-any.whl size=43301 sha256=134b7b7ac628e6817dedaddea573a58452fef7ac7422ef7c41121bbf4a9cc0bd
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-xyuaa_\wheels\fd\eb\c7\cc8c21b792dd5ace3356cb5d7a5004c37932940e290e168145
Successfully built turbofan
Installing collected packages: turbofan
Successfully installed turbofan-0.0.0.0
adding test for 'turbofan/engine_validation.py'
Beginning signomial solve.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.137 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 1.23 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.053 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.058 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.051 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.061 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.059 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.051 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.059 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.053 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.048 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.061 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.062 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.092 seconds.
Solving took 14 GP solves and 2.62 seconds.
Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 3.235s
OK
Generating XML reports...
Cloning into 'SPaircraft'...
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DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Collecting git+https://github.com/hoburg/turbofan.git
Cloning https://github.com/hoburg/turbofan.git to c:\users\jenkins\appdata\local\temp\pip-req-build-ggfqel
Running command git clone -q https://github.com/hoburg/turbofan.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-ggfqel'
Requirement already satisfied (use --upgrade to upgrade): turbofan==0.0.0.0 from git+https://github.com/hoburg/turbofan.git in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2)
Building wheels for collected packages: turbofan
Building wheel for turbofan (setup.py): started
Building wheel for turbofan (setup.py): finished with status 'done'
Created wheel for turbofan: filename=turbofan-0.0.0.0-cp27-none-any.whl size=43301 sha256=3dfacfe70af7430e4c49bfe475751d7206527593d20657d1ae14ac0ee911aeb1
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-gwjdrr\wheels\49\e6\3a\5de0d21c0f148404ea8d883f76e050c82d4e9a0e6f59ce69a5
Successfully built turbofan
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Processing d:\jenkins\workspace\gplibrary_push_models\mosek\spaircraft
Requirement already satisfied: turbofan in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from SPaircraft==0.0.0) (0.0.0.0)
Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from SPaircraft==0.0.0) (0.9.0.1)
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.2.2)
Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (0.9)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint->turbofan->SPaircraft==0.0.0) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0)
Building wheels for collected packages: SPaircraft
Building wheel for SPaircraft (setup.py): started
Building wheel for SPaircraft (setup.py): finished with status 'done'
Created wheel for SPaircraft: filename=SPaircraft-0.0.0-cp27-none-any.whl size=1856 sha256=e61f136e7cd59d02761ea40e15b97a307ab0237d9d3f36ccaa1b8f7b6022ae7f
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-iudvgs\wheels\5a\85\02\bbec505cff1eea0765543219a0ea15a5ddec7c9686120c35d7
Successfully built SPaircraft
Installing collected packages: SPaircraft
Successfully installed SPaircraft-0.0.0
adding test for 'SPaircraft.py'
Beginning signomial solve.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 944
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 944
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.03
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 781
Optimizer - Cones : 0
Optimizer - Scalar variables : 3472 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.66e+004 after factor : 1.50e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.290197357e+005 2.000000000e+000 1.0e+000 0.11
1 1.1e+003 1.5e+003 6.3e+004 -9.71e-001 -1.269632904e+005 3.594701390e+000 4.9e-001 0.14
2 4.2e+002 5.5e+002 2.4e+004 -9.38e-001 -1.205322588e+005 1.044217767e+001 1.9e-001 0.19
3 2.9e+002 3.8e+002 1.6e+004 -8.37e-001 -1.160754295e+005 6.457081290e+001 1.3e-001 0.22
4 2.9e+002 3.7e+002 1.6e+004 -7.60e-001 -1.134373782e+005 2.263832536e+003 1.3e-001 0.23
5 8.2e+001 1.1e+002 4.7e+003 -7.53e-001 -7.850400581e+004 9.101965158e+003 3.7e-002 0.27
6 3.6e+001 4.7e+001 2.0e+003 -2.52e-001 -4.670561953e+004 1.011788735e+004 1.6e-002 0.30
7 2.1e+001 2.7e+001 1.2e+003 2.79e-001 -3.079607798e+004 7.144824196e+003 9.2e-003 0.31
8 9.5e+000 1.3e+001 5.4e+002 5.56e-001 -1.527132466e+004 4.309000231e+003 4.3e-003 0.34
9 5.6e+000 7.3e+000 3.2e+002 8.14e-001 -8.937207217e+003 2.905418689e+003 2.5e-003 0.36
10 1.2e+000 1.6e+000 7.1e+001 9.07e-001 -1.819945995e+003 9.296064694e+002 5.6e-004 0.39
11 7.0e-001 9.1e-001 4.0e+001 9.97e-001 -8.303636448e+002 7.134605623e+002 3.2e-004 0.42
12 4.8e-001 6.4e-001 2.8e+001 9.96e-001 -5.032026015e+002 5.722831942e+002 2.2e-004 0.45
13 3.6e-001 7.4e-001 2.1e+001 9.79e-001 -3.206835250e+002 4.918559494e+002 1.7e-004 0.48
14 1.7e-001 3.6e-001 1.0e+001 9.96e-001 -1.778921366e+001 3.710170943e+002 8.0e-005 0.50
15 5.6e-002 1.5e-001 3.4e+000 9.94e-001 1.631176747e+002 2.942892959e+002 2.7e-005 0.53
16 3.3e-002 1.3e-001 2.0e+000 1.00e+000 2.008818424e+002 2.785231635e+002 1.6e-005 0.56
17 5.7e-003 1.7e-001 3.7e-001 1.00e+000 2.464619471e+002 2.607071495e+002 3.1e-006 0.58
18 1.6e-003 1.3e-001 1.1e-001 1.01e+000 2.537075929e+002 2.578436811e+002 9.2e-007 0.61
19 5.9e-004 1.0e-001 3.9e-002 1.00e+000 2.556419652e+002 2.571488146e+002 3.4e-007 0.62
20 2.9e-004 8.0e-002 1.9e-002 1.00e+000 2.562048237e+002 2.569483681e+002 1.7e-007 0.66
21 2.6e-004 7.2e-002 1.7e-002 1.00e+000 2.562606244e+002 2.569298159e+002 1.5e-007 0.69
22 2.3e-004 6.6e-002 1.6e-002 1.00e+000 2.563094914e+002 2.569117247e+002 1.4e-007 0.70
23 2.1e-004 6.0e-002 1.4e-002 1.00e+000 2.563536282e+002 2.568956139e+002 1.2e-007 0.73
24 1.9e-004 5.5e-002 1.3e-002 1.00e+000 2.563933034e+002 2.568810701e+002 1.1e-007 0.75
25 1.7e-004 5.0e-002 1.1e-002 1.00e+000 2.564289862e+002 2.568679597e+002 9.8e-008 0.78
26 1.5e-004 4.6e-002 1.0e-002 1.00e+000 2.564610765e+002 2.568561392e+002 8.9e-008 0.80
27 1.4e-004 4.2e-002 9.2e-003 1.00e+000 2.564899377e+002 2.568454834e+002 8.0e-008 0.83
28 1.2e-004 3.8e-002 8.3e-003 1.00e+000 2.565158960e+002 2.568358785e+002 7.2e-008 0.84
29 1.1e-004 3.5e-002 7.5e-003 1.00e+000 2.565392447e+002 2.568272221e+002 6.5e-008 0.87
30 1.0e-004 3.3e-002 6.7e-003 1.00e+000 2.565602473e+002 2.568194216e+002 5.8e-008 0.89
31 9.0e-005 3.0e-002 6.0e-003 1.00e+000 2.565791405e+002 2.568123932e+002 5.2e-008 0.90
32 8.1e-005 2.8e-002 5.4e-003 1.00e+000 2.565961370e+002 2.568060612e+002 4.7e-008 0.94
33 7.3e-005 2.6e-002 4.9e-003 1.00e+000 2.566114277e+002 2.568003570e+002 4.2e-008 0.95
34 6.6e-005 2.4e-002 4.4e-003 1.00e+000 2.566251843e+002 2.567952188e+002 3.8e-008 0.98
35 5.9e-005 2.2e-002 4.0e-003 1.00e+000 2.566375611e+002 2.567905907e+002 3.4e-008 1.00
36 5.3e-005 2.1e-002 3.6e-003 1.00e+000 2.566486968e+002 2.567864224e+002 3.1e-008 1.03
37 4.8e-005 2.0e-002 3.2e-003 1.00e+000 2.566587161e+002 2.567826684e+002 2.8e-008 1.04
38 4.3e-005 1.8e-002 2.9e-003 1.00e+000 2.566677310e+002 2.567792877e+002 2.5e-008 1.06
39 3.9e-005 1.7e-002 2.6e-003 1.00e+000 2.566758426e+002 2.567762432e+002 2.3e-008 1.09
40 3.5e-005 1.6e-002 2.3e-003 1.00e+000 2.566831413e+002 2.567735017e+002 2.0e-008 1.11
41 3.2e-005 1.5e-002 2.1e-003 1.00e+000 2.566897088e+002 2.567710331e+002 1.8e-008 1.14
42 2.8e-005 1.5e-002 1.9e-003 1.00e+000 2.566956185e+002 2.567688103e+002 1.6e-008 1.15
43 2.6e-005 1.4e-002 1.7e-003 1.00e+000 2.567009362e+002 2.567668089e+002 1.5e-008 1.17
44 2.3e-005 1.3e-002 1.5e-003 1.00e+000 2.567057214e+002 2.567650068e+002 1.3e-008 1.20
45 2.1e-005 1.3e-002 1.4e-003 1.00e+000 2.567100274e+002 2.567633844e+002 1.2e-008 1.22
46 1.9e-005 1.2e-002 1.2e-003 1.00e+000 2.567139022e+002 2.567619237e+002 1.1e-008 1.23
47 1.7e-005 1.2e-002 1.1e-003 1.00e+000 2.567173892e+002 2.567606086e+002 9.7e-009 1.26
48 1.5e-005 1.1e-002 1.0e-003 1.00e+000 2.567205271e+002 2.567594246e+002 8.7e-009 1.28
49 1.4e-005 1.1e-002 9.1e-004 1.00e+000 2.567233509e+002 2.567583588e+002 7.9e-009 1.29
50 1.2e-005 1.1e-002 8.2e-004 1.00e+000 2.567258921e+002 2.567573993e+002 7.1e-009 1.33
51 1.1e-005 1.0e-002 7.3e-004 1.00e+000 2.567281789e+002 2.567565355e+002 6.4e-009 1.34
52 9.9e-006 1.0e-002 6.6e-004 1.00e+000 2.567302369e+002 2.567557579e+002 5.7e-009 1.36
53 8.9e-006 9.8e-003 5.9e-004 1.00e+000 2.567320890e+002 2.567550580e+002 5.2e-009 1.39
54 8.0e-006 9.6e-003 5.4e-004 1.00e+000 2.567337557e+002 2.567544279e+002 4.6e-009 1.40
55 7.2e-006 9.4e-003 4.8e-004 1.00e+000 2.567352557e+002 2.567538608e+002 4.2e-009 1.42
56 6.5e-006 9.2e-003 4.3e-004 1.00e+000 2.567366056e+002 2.567533502e+002 3.8e-009 1.45
57 5.8e-006 9.0e-003 3.9e-004 1.00e+000 2.567378205e+002 2.567528907e+002 3.4e-009 1.47
58 5.3e-006 8.9e-003 3.5e-004 1.00e+000 2.567389138e+002 2.567524770e+002 3.0e-009 1.48
59 4.7e-006 8.7e-003 3.2e-004 1.00e+000 2.567398977e+002 2.567521047e+002 2.7e-009 1.51
60 4.3e-006 8.6e-003 2.8e-004 1.00e+000 2.567407832e+002 2.567517695e+002 2.5e-009 1.54
61 3.8e-006 8.5e-003 2.6e-004 1.00e+000 2.567415801e+002 2.567514678e+002 2.2e-009 1.56
62 3.4e-006 8.4e-003 2.3e-004 1.00e+000 2.567422973e+002 2.567511963e+002 2.0e-009 1.58
63 9.7e-007 2.4e-003 6.5e-005 1.00e+000 2.567469251e+002 2.567494410e+002 5.7e-010 1.61
64 8.8e-007 2.1e-003 5.9e-005 1.00e+000 2.567471089e+002 2.567493733e+002 5.1e-010 1.62
65 1.9e-007 4.6e-004 1.3e-005 1.00e+000 2.567483986e+002 2.567488836e+002 1.1e-010 1.65
66 1.7e-007 4.1e-004 1.1e-005 1.00e+000 2.567484339e+002 2.567488704e+002 9.8e-011 1.67
67 1.5e-007 3.7e-004 1.0e-005 1.00e+000 2.567484655e+002 2.567488584e+002 8.8e-011 1.68
68 1.4e-007 3.3e-004 9.2e-006 1.00e+000 2.567484939e+002 2.567488475e+002 7.9e-011 1.72
69 3.2e-008 7.8e-005 2.1e-006 1.00e+000 2.567486900e+002 2.567487728e+002 1.9e-011 1.73
70 2.9e-008 7.0e-005 1.9e-006 1.00e+000 2.567486960e+002 2.567487706e+002 1.7e-011 1.75
71 1.1e-008 2.7e-005 7.5e-007 1.00e+000 2.567487290e+002 2.567487579e+002 6.5e-012 1.78
Interior-point optimizer terminated. Time: 1.78.
Optimizer terminated. Time: 1.79
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 2.5674872905e+002 Viol. con: 2e-007 var: 0e+000
Dual. obj: 2.5674875792e+002 Viol. con: 0e+000 var: 2e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 1.82 seconds.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 943
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 943
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.05
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 782
Optimizer - Cones : 0
Optimizer - Scalar variables : 3474 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.05 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.66e+004 after factor : 1.51e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.291054469e+005 2.000000000e+000 1.0e+000 0.11
1 1.1e+003 1.4e+003 6.1e+004 -9.71e-001 -1.268763819e+005 3.752906326e+000 4.7e-001 0.13
2 4.6e+002 6.0e+002 2.6e+004 -9.35e-001 -1.214646750e+005 9.789140657e+000 2.0e-001 0.16
3 2.9e+002 3.8e+002 1.6e+004 -8.50e-001 -1.163017624e+005 5.254199475e+001 1.3e-001 0.17
4 2.9e+002 3.8e+002 1.6e+004 -7.63e-001 -1.139647888e+005 2.051402766e+003 1.3e-001 0.20
5 8.4e+001 1.1e+002 4.7e+003 -7.57e-001 -7.889188298e+004 9.125057322e+003 3.7e-002 0.22
6 3.7e+001 4.8e+001 2.1e+003 -2.57e-001 -4.808328411e+004 1.016843287e+004 1.6e-002 0.23
7 1.9e+001 2.5e+001 1.1e+003 2.59e-001 -2.900099991e+004 6.541961901e+003 8.5e-003 0.27
8 9.2e+000 1.2e+001 5.2e+002 5.90e-001 -1.481517340e+004 4.016697800e+003 4.1e-003 0.28
9 5.8e+000 7.5e+000 3.3e+002 8.20e-001 -9.319741297e+003 2.830451851e+003 2.6e-003 0.30
10 2.0e+000 2.6e+000 1.1e+002 9.02e-001 -3.131592118e+003 1.216397875e+003 8.9e-004 0.31
11 1.6e+000 2.0e+000 8.8e+001 9.76e-001 -2.370562563e+003 1.030644720e+003 6.9e-004 0.34
12 9.3e-001 1.3e+000 5.3e+001 9.77e-001 -1.355054259e+003 6.978650769e+002 4.2e-004 0.36
13 3.9e-001 6.1e-001 2.2e+001 9.85e-001 -4.715940877e+002 4.021557444e+002 1.8e-004 0.39
14 2.2e-001 3.7e-001 1.3e+001 1.00e+000 -1.843041075e+002 3.122204477e+002 1.0e-004 0.41
15 8.1e-002 3.0e-001 4.7e+000 1.00e+000 3.880270050e+001 2.216914637e+002 3.8e-005 0.42
16 3.7e-002 1.6e-001 2.2e+000 1.00e+000 1.081862749e+002 1.937897307e+002 1.8e-005 0.45
17 1.4e-002 1.0e-001 8.6e-001 1.01e+000 1.456347776e+002 1.791637262e+002 7.1e-006 0.48
18 4.6e-003 1.1e-001 2.8e-001 1.01e+000 1.619549286e+002 1.729482698e+002 2.4e-006 0.52
19 2.1e-003 8.3e-002 1.3e-001 1.01e+000 1.663693215e+002 1.713313483e+002 1.1e-006 0.55
20 7.6e-004 8.4e-002 4.8e-002 1.01e+000 1.686378006e+002 1.704832140e+002 4.1e-007 0.58
21 3.8e-004 7.3e-002 2.4e-002 1.01e+000 1.693153335e+002 1.702362427e+002 2.0e-007 0.61
22 2.3e-004 6.0e-002 1.5e-002 1.01e+000 1.695790277e+002 1.701458762e+002 1.3e-007 0.62
23 2.1e-004 5.5e-002 1.3e-002 1.01e+000 1.696214164e+002 1.701319140e+002 1.1e-007 0.66
24 1.9e-004 5.0e-002 1.2e-002 1.01e+000 1.696577724e+002 1.701170652e+002 1.0e-007 0.67
25 1.7e-004 4.6e-002 1.1e-002 1.01e+000 1.696910312e+002 1.701043017e+002 9.2e-008 0.70
26 1.5e-004 4.2e-002 9.8e-003 1.01e+000 1.697208615e+002 1.700927203e+002 8.3e-008 0.73
27 1.4e-004 3.9e-002 8.8e-003 1.01e+000 1.697476829e+002 1.700822846e+002 7.5e-008 0.75
28 1.2e-004 3.6e-002 7.9e-003 1.01e+000 1.697717925e+002 1.700728734e+002 6.7e-008 0.78
29 1.1e-004 3.3e-002 7.1e-003 1.01e+000 1.697934670e+002 1.700643885e+002 6.0e-008 0.83
30 1.0e-004 3.0e-002 6.4e-003 1.00e+000 1.698129512e+002 1.700567374e+002 5.4e-008 0.86
31 9.1e-005 2.8e-002 5.8e-003 1.00e+000 1.698304639e+002 1.700498355e+002 4.9e-008 0.87
32 8.2e-005 2.6e-002 5.2e-003 1.00e+000 1.698462025e+002 1.700436072e+002 4.4e-008 0.91
33 7.4e-005 2.4e-002 4.7e-003 1.00e+000 1.698603449e+002 1.700379846e+002 4.0e-008 0.94
34 6.6e-005 2.3e-002 4.2e-003 1.00e+000 1.698730520e+002 1.700329077e+002 3.6e-008 0.95
35 6.0e-005 2.1e-002 3.8e-003 1.00e+000 1.698844691e+002 1.700283228e+002 3.2e-008 0.98
36 5.4e-005 2.0e-002 3.4e-003 1.00e+000 1.698947267e+002 1.700241817e+002 2.9e-008 1.00
37 4.8e-005 1.9e-002 3.1e-003 1.00e+000 1.699039425e+002 1.700204412e+002 2.6e-008 1.03
38 4.3e-005 1.8e-002 2.8e-003 1.00e+000 1.699122223e+002 1.700170623e+002 2.3e-008 1.05
39 3.9e-005 1.7e-002 2.5e-003 1.00e+000 1.699196611e+002 1.700140100e+002 2.1e-008 1.06
40 3.5e-005 1.6e-002 2.2e-003 1.00e+000 1.699263444e+002 1.700112525e+002 1.9e-008 1.09
41 3.2e-005 1.5e-002 2.0e-003 1.00e+000 1.699323488e+002 1.700087614e+002 1.7e-008 1.12
42 2.8e-005 1.4e-002 1.8e-003 1.00e+000 1.699377432e+002 1.700065107e+002 1.5e-008 1.14
43 2.6e-005 1.4e-002 1.6e-003 1.00e+000 1.699425897e+002 1.700044774e+002 1.4e-008 1.16
44 2.3e-005 1.3e-002 1.5e-003 1.00e+000 1.699469440e+002 1.700026404e+002 1.2e-008 1.19
45 2.1e-005 1.3e-002 1.3e-003 1.00e+000 1.699508563e+002 1.700009810e+002 1.1e-008 1.22
46 1.9e-005 1.2e-002 1.2e-003 1.00e+000 1.699543717e+002 1.699994824e+002 1.0e-008 1.23
47 1.7e-005 1.2e-002 1.1e-003 1.00e+000 1.699575310e+002 1.699981293e+002 9.1e-009 1.25
48 1.5e-005 1.1e-002 9.6e-004 1.00e+000 1.699603706e+002 1.699969080e+002 8.2e-009 1.28
49 1.4e-005 1.1e-002 8.7e-004 1.00e+000 1.699629231e+002 1.699958059e+002 7.4e-009 1.29
50 1.2e-005 1.1e-002 7.8e-004 1.00e+000 1.699652179e+002 1.699948117e+002 6.6e-009 1.33
51 1.1e-005 1.0e-002 7.0e-004 1.00e+000 1.699672811e+002 1.699939151e+002 6.0e-009 1.34
52 9.9e-006 1.0e-002 6.3e-004 1.00e+000 1.699691364e+002 1.699931065e+002 5.4e-009 1.37
53 8.9e-006 1.0e-002 5.7e-004 1.00e+000 1.699708047e+002 1.699923775e+002 4.8e-009 1.39
54 8.0e-006 9.8e-003 5.1e-004 1.00e+000 1.699723051e+002 1.699917203e+002 4.3e-009 1.40
55 7.2e-006 9.6e-003 4.6e-004 1.00e+000 1.699736544e+002 1.699911279e+002 3.9e-009 1.44
56 6.5e-006 9.4e-003 4.1e-004 1.00e+000 1.699748680e+002 1.699905940e+002 3.5e-009 1.45
57 5.9e-006 9.3e-003 3.7e-004 1.00e+000 1.699759595e+002 1.699901128e+002 3.2e-009 1.48
58 5.3e-006 9.1e-003 3.4e-004 1.00e+000 1.699769413e+002 1.699896792e+002 2.9e-009 1.50
59 4.7e-006 9.0e-003 3.0e-004 1.00e+000 1.699778245e+002 1.699892885e+002 2.6e-009 1.51
60 4.3e-006 8.9e-003 2.7e-004 1.00e+000 1.699786189e+002 1.699889365e+002 2.3e-009 1.54
61 3.8e-006 8.8e-003 2.4e-004 1.00e+000 1.699793336e+002 1.699886193e+002 2.1e-009 1.56
62 3.5e-006 8.7e-003 2.2e-004 1.00e+000 1.699799764e+002 1.699883336e+002 1.9e-009 1.59
63 3.1e-006 8.6e-003 2.0e-004 1.00e+000 1.699805548e+002 1.699880762e+002 1.7e-009 1.61
64 2.8e-006 8.5e-003 1.8e-004 1.00e+000 1.699810751e+002 1.699878444e+002 1.5e-009 1.62
65 2.5e-006 8.5e-003 1.6e-004 1.00e+000 1.699815433e+002 1.699876356e+002 1.4e-009 1.65
66 2.3e-006 8.4e-003 1.4e-004 1.00e+000 1.699819644e+002 1.699874476e+002 1.2e-009 1.69
67 2.0e-006 8.3e-003 1.3e-004 1.00e+000 1.699823434e+002 1.699872782e+002 1.1e-009 1.72
68 1.8e-006 8.3e-003 1.2e-004 1.00e+000 1.699826843e+002 1.699871256e+002 9.9e-010 1.73
69 1.7e-006 8.2e-003 1.1e-004 1.00e+000 1.699829911e+002 1.699869882e+002 9.0e-010 1.76
70 1.5e-006 8.2e-003 9.5e-005 1.00e+000 1.699832671e+002 1.699868645e+002 8.1e-010 1.78
71 1.3e-006 8.1e-003 8.5e-005 1.00e+000 1.699835155e+002 1.699867532e+002 7.3e-010 1.81
72 1.2e-006 8.1e-003 7.7e-005 1.00e+000 1.699837389e+002 1.699866529e+002 6.5e-010 1.83
73 1.1e-006 8.0e-003 6.9e-005 1.00e+000 1.699839400e+002 1.699865626e+002 5.9e-010 1.84
74 9.8e-007 8.0e-003 6.2e-005 1.00e+000 1.699841210e+002 1.699864813e+002 5.3e-010 1.89
75 8.8e-007 8.0e-003 5.6e-005 1.00e+000 1.699842838e+002 1.699864081e+002 4.8e-010 1.90
76 7.9e-007 7.9e-003 5.0e-005 1.00e+000 1.699844303e+002 1.699863421e+002 4.3e-010 1.94
77 7.1e-007 7.9e-003 4.5e-005 1.00e+000 1.699845622e+002 1.699862828e+002 3.9e-010 1.95
78 6.4e-007 7.9e-003 4.1e-005 1.00e+000 1.699846808e+002 1.699862294e+002 3.5e-010 1.97
79 5.8e-007 7.8e-003 3.7e-005 1.00e+000 1.699847876e+002 1.699861813e+002 3.1e-010 2.00
80 5.2e-007 7.8e-003 3.3e-005 1.00e+000 1.699848837e+002 1.699861380e+002 2.8e-010 2.01
81 4.7e-007 7.8e-003 3.0e-005 1.00e+000 1.699849701e+002 1.699860991e+002 2.5e-010 2.04
82 4.2e-007 7.8e-003 2.7e-005 9.99e-001 1.699850479e+002 1.699860640e+002 2.3e-010 2.06
83 3.8e-007 7.7e-003 2.4e-005 1.00e+000 1.699851180e+002 1.699860324e+002 2.0e-010 2.09
84 3.4e-007 7.7e-003 2.2e-005 1.00e+000 1.699851810e+002 1.699860040e+002 1.8e-010 2.11
85 3.1e-007 7.7e-003 2.0e-005 9.99e-001 1.699852377e+002 1.699859785e+002 1.7e-010 2.14
86 2.8e-007 7.7e-003 1.8e-005 9.99e-001 1.699852887e+002 1.699859554e+002 1.5e-010 2.15
87 2.5e-007 7.7e-003 1.6e-005 1.00e+000 1.699853347e+002 1.699859347e+002 1.3e-010 2.18
88 2.2e-007 7.6e-003 1.4e-005 1.00e+000 1.699853760e+002 1.699859160e+002 1.2e-010 2.20
89 2.0e-007 7.6e-003 1.3e-005 1.00e+000 1.699854132e+002 1.699858992e+002 1.1e-010 2.23
90 1.8e-007 7.6e-003 1.2e-005 1.00e+000 1.699854467e+002 1.699858841e+002 9.8e-011 2.25
91 1.6e-007 7.6e-003 1.0e-005 1.00e+000 1.699854769e+002 1.699858705e+002 8.8e-011 2.28
92 1.5e-007 7.6e-003 9.3e-006 1.00e+000 1.699855040e+002 1.699858582e+002 7.9e-011 2.29
93 1.3e-007 7.6e-003 8.4e-006 1.00e+000 1.699855284e+002 1.699858472e+002 7.1e-011 2.33
94 1.2e-007 7.6e-003 7.6e-006 9.99e-001 1.699855504e+002 1.699858373e+002 6.4e-011 2.34
95 1.1e-007 7.5e-003 6.8e-006 1.00e+000 1.699855701e+002 1.699858284e+002 5.8e-011 2.36
96 9.6e-008 7.5e-003 6.1e-006 1.00e+000 1.699855879e+002 1.699858203e+002 5.2e-011 2.39
97 8.7e-008 7.5e-003 5.5e-006 9.99e-001 1.699856039e+002 1.699858131e+002 4.7e-011 2.40
98 7.8e-008 7.5e-003 5.0e-006 9.95e-001 1.699856183e+002 1.699858066e+002 4.2e-011 2.43
99 7.0e-008 7.5e-003 4.5e-006 9.91e-001 1.699856313e+002 1.699858008e+002 3.8e-011 2.45
100 6.3e-008 6.7e-003 4.0e-006 1.00e+000 1.699856431e+002 1.699857955e+002 3.4e-011 2.48
101 5.7e-008 6.0e-003 3.6e-006 1.00e+000 1.699856537e+002 1.699857907e+002 3.1e-011 2.50
102 5.1e-008 5.4e-003 3.3e-006 1.01e+000 1.699856634e+002 1.699857862e+002 2.8e-011 2.53
103 4.6e-008 4.9e-003 2.9e-006 1.00e+000 1.699856719e+002 1.699857824e+002 2.5e-011 2.54
104 4.1e-008 4.4e-003 2.6e-006 1.00e+000 1.699856796e+002 1.699857789e+002 2.3e-011 2.56
105 3.7e-008 4.0e-003 2.4e-006 1.02e+000 1.699856869e+002 1.699857755e+002 2.0e-011 2.59
106 3.4e-008 3.6e-003 2.1e-006 1.00e+000 1.699856931e+002 1.699857728e+002 1.8e-011 2.61
107 3.0e-008 3.2e-003 1.9e-006 1.00e+000 1.699856985e+002 1.699857703e+002 1.7e-011 2.62
108 2.7e-008 2.9e-003 1.7e-006 1.00e+000 1.699857035e+002 1.699857680e+002 1.5e-011 2.65
109 2.4e-008 2.6e-003 1.6e-006 1.00e+000 1.699857080e+002 1.699857660e+002 1.3e-011 2.67
110 2.2e-008 2.3e-003 1.4e-006 9.94e-001 1.699857120e+002 1.699857642e+002 1.2e-011 2.70
111 2.0e-008 2.1e-003 1.3e-006 1.00e+000 1.699857156e+002 1.699857626e+002 1.1e-011 2.71
112 1.8e-008 1.9e-003 1.1e-006 1.00e+000 1.699857188e+002 1.699857611e+002 9.8e-012 2.73
113 1.6e-008 1.7e-003 1.0e-006 9.98e-001 1.699857217e+002 1.699857598e+002 8.8e-012 2.76
114 1.4e-008 1.5e-003 9.2e-007 1.00e+000 1.699857244e+002 1.699857586e+002 7.9e-012 2.78
115 1.3e-008 1.4e-003 8.3e-007 9.84e-001 1.699857267e+002 1.699857576e+002 7.2e-012 2.79
116 1.2e-008 1.2e-003 7.4e-007 9.90e-001 1.699857288e+002 1.699857566e+002 6.4e-012 2.82
117 1.1e-008 1.1e-003 6.7e-007 1.05e+000 1.699857312e+002 1.699857555e+002 5.9e-012 2.84
118 9.5e-009 1.0e-003 6.0e-007 1.01e+000 1.699857329e+002 1.699857547e+002 5.4e-012 2.86
119 8.6e-009 9.1e-004 5.4e-007 1.01e+000 1.699857345e+002 1.699857540e+002 4.8e-012 2.89
120 7.8e-009 8.2e-004 4.9e-007 1.07e+000 1.699857363e+002 1.699857532e+002 4.5e-012 2.90
121 7.0e-009 7.3e-004 4.4e-007 9.79e-001 1.699857374e+002 1.699857527e+002 4.1e-012 2.93
122 6.3e-009 6.6e-004 4.0e-007 9.78e-001 1.699857385e+002 1.699857522e+002 3.7e-012 2.95
123 5.6e-009 6.0e-004 3.6e-007 1.01e+000 1.699857394e+002 1.699857518e+002 3.3e-012 2.98
124 5.1e-009 5.4e-004 3.2e-007 1.01e+000 1.699857403e+002 1.699857514e+002 3.0e-012 3.01
125 1.5e-009 6.3e-005 3.8e-008 9.52e-001 1.699857471e+002 1.699857485e+002 4.1e-013 3.03
Interior-point optimizer terminated. Time: 3.03.
Optimizer terminated. Time: 3.04
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6998574714e+002 Viol. con: 4e-008 var: 0e+000
Dual. obj: 1.6998574848e+002 Viol. con: 0e+000 var: 4e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.07 seconds.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 943
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 943
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.03
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 782
Optimizer - Cones : 0
Optimizer - Scalar variables : 3474 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.66e+004 after factor : 1.51e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.293681604e+005 2.000000000e+000 1.0e+000 0.09
1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.271990883e+005 3.612109178e+000 4.8e-001 0.13
2 4.4e+002 5.7e+002 2.5e+004 -9.36e-001 -1.212256268e+005 9.958697729e+000 1.9e-001 0.16
3 2.9e+002 3.8e+002 1.6e+004 -8.43e-001 -1.165124693e+005 5.993740307e+001 1.3e-001 0.17
4 2.9e+002 3.8e+002 1.6e+004 -7.63e-001 -1.138102717e+005 2.351756498e+003 1.3e-001 0.20
5 8.2e+001 1.1e+002 4.6e+003 -7.56e-001 -7.780713771e+004 9.475568108e+003 3.6e-002 0.25
6 4.1e+001 5.3e+001 2.3e+003 -2.37e-001 -5.156936363e+004 1.019789097e+004 1.8e-002 0.27
7 2.8e+001 3.7e+001 1.6e+003 2.07e-001 -3.979366325e+004 7.910773599e+003 1.2e-002 0.30
8 1.7e+001 2.2e+001 9.4e+002 4.17e-001 -2.609532298e+004 5.440848473e+003 7.4e-003 0.33
9 6.9e+000 9.0e+000 3.9e+002 6.46e-001 -1.133021280e+004 2.965191951e+003 3.0e-003 0.34
10 3.9e+000 5.0e+000 2.2e+002 8.73e-001 -6.015647259e+003 2.219244930e+003 1.7e-003 0.37
11 1.7e+000 2.2e+000 9.5e+001 9.48e-001 -2.570486400e+003 1.069599599e+003 7.5e-004 0.39
12 8.6e-001 1.1e+000 4.8e+001 9.85e-001 -1.217961780e+003 6.487454145e+002 3.8e-004 0.42
13 8.0e-001 1.1e+000 4.5e+001 9.56e-001 -1.154988843e+003 6.116465188e+002 3.6e-004 0.44
14 6.4e-001 8.7e-001 3.6e+001 9.82e-001 -8.844218800e+002 5.383069767e+002 2.9e-004 0.47
15 2.0e-001 2.9e-001 1.1e+001 9.88e-001 -1.812036400e+002 2.685713849e+002 9.2e-005 0.48
16 1.1e-001 1.7e-001 6.2e+000 1.01e+000 -2.552614586e+001 2.153789403e+002 4.9e-005 0.52
17 7.5e-002 1.2e-001 4.4e+000 1.01e+000 3.019330056e+001 1.993886228e+002 3.5e-005 0.55
18 5.8e-002 1.1e-001 3.4e+000 1.02e+000 6.730621420e+001 1.982832834e+002 2.7e-005 0.56
19 1.2e-002 1.3e-001 7.4e-001 1.00e+000 1.457359080e+002 1.741683567e+002 5.9e-006 0.59
20 4.0e-003 2.1e-001 2.4e-001 1.00e+000 1.601628353e+002 1.695403756e+002 1.9e-006 0.61
21 2.5e-003 2.2e-001 1.6e-001 1.01e+000 1.626735870e+002 1.686684413e+002 1.2e-006 0.64
22 1.6e-003 1.7e-001 9.9e-002 1.01e+000 1.643736568e+002 1.681855029e+002 7.9e-007 0.66
23 6.8e-004 1.5e-001 4.3e-002 1.00e+000 1.659922258e+002 1.676292151e+002 3.4e-007 0.69
24 3.2e-004 9.5e-002 2.0e-002 1.01e+000 1.666173625e+002 1.673939315e+002 1.6e-007 0.70
25 1.3e-004 8.6e-002 8.5e-003 1.01e+000 1.669400454e+002 1.672636196e+002 6.9e-008 0.73
26 1.2e-004 7.8e-002 7.6e-003 1.01e+000 1.669665050e+002 1.672577524e+002 6.2e-008 0.75
27 1.1e-004 7.1e-002 6.9e-003 1.01e+000 1.669867230e+002 1.672487733e+002 5.6e-008 0.78
28 9.6e-005 6.5e-002 6.2e-003 1.00e+000 1.670052588e+002 1.672410667e+002 5.0e-008 0.81
29 8.6e-005 5.9e-002 5.6e-003 1.00e+000 1.670218124e+002 1.672340086e+002 4.5e-008 0.83
30 7.8e-005 5.4e-002 5.0e-003 1.00e+000 1.670366788e+002 1.672276325e+002 4.1e-008 0.86
31 7.0e-005 4.9e-002 4.5e-003 1.00e+000 1.670500222e+002 1.672218635e+002 3.7e-008 0.89
32 6.3e-005 4.5e-002 4.1e-003 1.00e+000 1.670620025e+002 1.672166472e+002 3.3e-008 0.91
33 5.7e-005 4.1e-002 3.7e-003 1.00e+000 1.670727601e+002 1.672119315e+002 3.0e-008 0.94
34 5.1e-005 3.8e-002 3.3e-003 1.00e+000 1.670824211e+002 1.672076693e+002 2.7e-008 0.95
35 4.6e-005 3.5e-002 3.0e-003 1.00e+000 1.670910982e+002 1.672038175e+002 2.4e-008 0.98
36 4.1e-005 3.2e-002 2.7e-003 1.00e+000 1.670988926e+002 1.672003374e+002 2.2e-008 1.01
37 3.7e-005 3.0e-002 2.4e-003 1.00e+000 1.671058947e+002 1.671971934e+002 2.0e-008 1.03
38 3.3e-005 2.8e-002 2.2e-003 1.00e+000 1.671121857e+002 1.671943536e+002 1.8e-008 1.06
39 3.0e-005 2.6e-002 1.9e-003 1.00e+000 1.671178384e+002 1.671917891e+002 1.6e-008 1.08
40 2.7e-005 2.4e-002 1.7e-003 1.00e+000 1.671229179e+002 1.671894735e+002 1.4e-008 1.09
41 2.4e-005 2.2e-002 1.6e-003 1.00e+000 1.671274828e+002 1.671873829e+002 1.3e-008 1.12
42 2.2e-005 2.1e-002 1.4e-003 1.00e+000 1.671315855e+002 1.671854960e+002 1.2e-008 1.14
43 2.0e-005 1.9e-002 1.3e-003 1.00e+000 1.671352732e+002 1.671837930e+002 1.0e-008 1.15
44 1.8e-005 1.8e-002 1.1e-003 1.00e+000 1.671385882e+002 1.671822563e+002 9.4e-009 1.19
45 1.6e-005 1.7e-002 1.0e-003 1.00e+000 1.671415682e+002 1.671808700e+002 8.4e-009 1.20
46 1.4e-005 1.6e-002 9.3e-004 1.00e+000 1.671442474e+002 1.671796194e+002 7.6e-009 1.22
47 1.3e-005 1.5e-002 8.4e-004 1.00e+000 1.671466563e+002 1.671784915e+002 6.8e-009 1.25
48 1.2e-005 1.5e-002 7.5e-004 1.00e+000 1.671488223e+002 1.671774743e+002 6.1e-009 1.26
49 1.0e-005 1.4e-002 6.8e-004 1.00e+000 1.671507700e+002 1.671765572e+002 5.5e-009 1.29
50 9.4e-006 1.3e-002 6.1e-004 1.00e+000 1.671525216e+002 1.671757304e+002 5.0e-009 1.31
51 8.5e-006 1.3e-002 5.5e-004 1.00e+000 1.671540968e+002 1.671749851e+002 4.5e-009 1.33
52 7.6e-006 1.2e-002 4.9e-004 1.00e+000 1.671555136e+002 1.671743134e+002 4.0e-009 1.36
53 6.9e-006 1.2e-002 4.4e-004 1.00e+000 1.671567879e+002 1.671737079e+002 3.6e-009 1.37
54 6.2e-006 1.1e-002 4.0e-004 1.00e+000 1.671579341e+002 1.671731623e+002 3.3e-009 1.39
55 5.6e-006 1.1e-002 3.6e-004 1.00e+000 1.671589651e+002 1.671726707e+002 2.9e-009 1.42
56 5.0e-006 1.1e-002 3.2e-004 1.00e+000 1.671598925e+002 1.671722278e+002 2.6e-009 1.44
57 4.5e-006 1.0e-002 2.9e-004 1.00e+000 1.671607268e+002 1.671718287e+002 2.4e-009 1.45
58 1.5e-006 3.5e-003 9.8e-005 1.00e+000 1.671657062e+002 1.671694243e+002 8.0e-010 1.48
59 8.7e-007 2.0e-003 5.7e-005 1.00e+000 1.671667590e+002 1.671689112e+002 4.6e-010 1.50
60 7.8e-007 1.8e-003 5.1e-005 1.00e+000 1.671669101e+002 1.671688475e+002 4.2e-010 1.53
61 7.0e-007 1.6e-003 4.6e-005 1.00e+000 1.671670400e+002 1.671687838e+002 3.7e-010 1.54
62 6.3e-007 1.5e-003 4.1e-005 9.99e-001 1.671671573e+002 1.671687268e+002 3.4e-010 1.56
63 5.7e-007 1.3e-003 3.7e-005 1.00e+000 1.671672628e+002 1.671686753e+002 3.0e-010 1.59
64 5.1e-007 1.2e-003 3.3e-005 1.00e+000 1.671673577e+002 1.671686290e+002 2.7e-010 1.61
65 4.6e-007 1.1e-003 3.0e-005 1.00e+000 1.671674430e+002 1.671685873e+002 2.5e-010 1.62
66 4.2e-007 9.7e-004 2.7e-005 9.99e-001 1.671675198e+002 1.671685497e+002 2.2e-010 1.65
67 3.7e-007 8.7e-004 2.4e-005 9.99e-001 1.671675889e+002 1.671685158e+002 2.0e-010 1.67
68 3.4e-007 7.8e-004 2.2e-005 1.00e+000 1.671676511e+002 1.671684853e+002 1.8e-010 1.69
69 3.0e-007 7.0e-004 2.0e-005 1.00e+000 1.671677070e+002 1.671684578e+002 1.6e-010 1.72
70 2.7e-007 6.3e-004 1.8e-005 9.97e-001 1.671677573e+002 1.671684331e+002 1.4e-010 1.73
71 2.5e-007 5.7e-004 1.6e-005 1.00e+000 1.671678026e+002 1.671684108e+002 1.3e-010 1.75
72 2.2e-007 5.1e-004 1.4e-005 9.99e-001 1.671678433e+002 1.671683907e+002 1.2e-010 1.78
73 2.0e-007 4.6e-004 1.3e-005 9.99e-001 1.671678800e+002 1.671683726e+002 1.1e-010 1.79
74 1.8e-007 4.2e-004 1.2e-005 9.99e-001 1.671679129e+002 1.671683564e+002 9.5e-011 1.83
75 1.6e-007 3.7e-004 1.0e-005 9.97e-001 1.671679426e+002 1.671683418e+002 8.6e-011 1.84
76 1.5e-007 3.4e-004 9.4e-006 9.99e-001 1.671679693e+002 1.671683286e+002 7.7e-011 1.86
77 1.3e-007 3.0e-004 8.5e-006 9.96e-001 1.671679934e+002 1.671683168e+002 6.9e-011 1.89
78 1.2e-007 2.7e-004 7.6e-006 9.96e-001 1.671680150e+002 1.671683061e+002 6.2e-011 1.90
79 1.1e-007 2.5e-004 6.9e-006 9.98e-001 1.671680345e+002 1.671682965e+002 5.6e-011 1.92
80 9.5e-008 2.2e-004 6.2e-006 1.00e+000 1.671680520e+002 1.671682879e+002 5.1e-011 1.95
81 8.6e-008 2.0e-004 5.6e-006 9.93e-001 1.671680678e+002 1.671682801e+002 4.6e-011 1.98
82 7.7e-008 1.8e-004 5.0e-006 9.93e-001 1.671680820e+002 1.671682732e+002 4.1e-011 2.00
83 6.9e-008 1.6e-004 4.5e-006 9.94e-001 1.671680948e+002 1.671682669e+002 3.7e-011 2.01
84 6.2e-008 1.5e-004 4.1e-006 1.00e+000 1.671681064e+002 1.671682611e+002 3.3e-011 2.04
85 5.6e-008 1.3e-004 3.7e-006 1.00e+000 1.671681169e+002 1.671682559e+002 3.0e-011 2.06
86 5.1e-008 1.2e-004 3.3e-006 1.01e+000 1.671681265e+002 1.671682511e+002 2.7e-011 2.08
87 4.6e-008 1.1e-004 3.0e-006 9.98e-001 1.671681349e+002 1.671682470e+002 2.4e-011 2.11
88 4.1e-008 9.5e-005 2.7e-006 1.00e+000 1.671681424e+002 1.671682433e+002 2.2e-011 2.12
89 3.7e-008 8.6e-005 2.4e-006 9.97e-001 1.671681492e+002 1.671682400e+002 2.0e-011 2.14
90 3.3e-008 7.7e-005 2.2e-006 9.77e-001 1.671681552e+002 1.671682370e+002 1.8e-011 2.17
91 3.0e-008 6.9e-005 1.9e-006 1.02e+000 1.671681611e+002 1.671682341e+002 1.6e-011 2.18
92 2.7e-008 6.2e-005 1.7e-006 9.81e-001 1.671681660e+002 1.671682317e+002 1.4e-011 2.20
93 2.4e-008 5.6e-005 1.6e-006 9.89e-001 1.671681703e+002 1.671682295e+002 1.3e-011 2.23
94 2.2e-008 5.1e-005 1.4e-006 1.00e+000 1.671681743e+002 1.671682276e+002 1.2e-011 2.25
95 2.0e-008 4.6e-005 1.3e-006 9.82e-001 1.671681778e+002 1.671682258e+002 1.1e-011 2.26
96 1.8e-008 4.1e-005 1.1e-006 9.73e-001 1.671681810e+002 1.671682243e+002 9.5e-012 2.29
97 1.6e-008 3.7e-005 1.0e-006 9.69e-001 1.671681839e+002 1.671682229e+002 8.6e-012 2.31
98 1.4e-008 3.3e-005 9.3e-007 9.90e-001 1.671681865e+002 1.671682216e+002 7.7e-012 2.32
99 1.3e-008 3.0e-005 8.4e-007 9.78e-001 1.671681888e+002 1.671682205e+002 6.9e-012 2.36
Interior-point optimizer terminated. Time: 2.36.
Optimizer terminated. Time: 2.37
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6716818883e+002 Viol. con: 2e-007 var: 0e+000
Dual. obj: 1.6716822046e+002 Viol. con: 0e+000 var: 2e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 2.4 seconds.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 943
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 943
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.05
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 782
Optimizer - Cones : 0
Optimizer - Scalar variables : 3474 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.66e+004 after factor : 1.51e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.291009753e+005 2.000000000e+000 1.0e+000 0.11
1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.269480380e+005 3.560263225e+000 4.8e-001 0.12
2 4.4e+002 5.6e+002 2.4e+004 -9.37e-001 -1.209431713e+005 9.894125994e+000 1.9e-001 0.17
3 2.9e+002 3.7e+002 1.6e+004 -8.43e-001 -1.162051603e+005 6.038919937e+001 1.3e-001 0.20
4 2.9e+002 3.7e+002 1.6e+004 -7.62e-001 -1.134955279e+005 2.361565449e+003 1.3e-001 0.22
5 7.4e+001 9.5e+001 4.1e+003 -7.55e-001 -7.414199775e+004 1.005502708e+004 3.2e-002 0.25
6 3.6e+001 4.6e+001 2.0e+003 -1.82e-001 -4.667254894e+004 1.040680816e+004 1.6e-002 0.28
7 2.1e+001 2.8e+001 1.2e+003 2.90e-001 -3.151915125e+004 7.027406234e+003 9.4e-003 0.30
8 1.3e+001 1.6e+001 7.0e+002 5.59e-001 -1.986157338e+004 4.596582478e+003 5.5e-003 0.33
9 4.7e+000 6.0e+000 2.6e+002 7.48e-001 -7.626514154e+003 2.206054578e+003 2.1e-003 0.34
10 2.3e+000 3.0e+000 1.3e+002 9.28e-001 -3.594546578e+003 1.385111815e+003 1.0e-003 0.37
11 1.5e+000 1.9e+000 8.5e+001 9.78e-001 -2.291936160e+003 9.668553127e+002 6.7e-004 0.39
12 8.5e-001 1.1e+000 4.8e+001 9.85e-001 -1.220581665e+003 6.207113583e+002 3.8e-004 0.41
13 7.4e-001 1.0e+000 4.2e+001 9.57e-001 -1.072994885e+003 5.618940169e+002 3.3e-004 0.44
14 5.9e-001 8.1e-001 3.3e+001 9.87e-001 -8.036378568e+002 4.948203897e+002 2.6e-004 0.45
15 1.8e-001 2.7e-001 1.0e+001 9.90e-001 -1.509231007e+002 2.523860622e+002 8.2e-005 0.56
16 1.0e-001 1.9e-001 6.0e+000 1.01e+000 -2.103529994e+001 2.130059903e+002 4.8e-005 0.58
17 9.6e-002 1.8e-001 5.6e+000 1.01e+000 -1.492127314e+000 2.158062365e+002 4.5e-005 0.61
18 6.8e-002 1.3e-001 4.0e+000 1.01e+000 4.767561650e+001 2.005779276e+002 3.2e-005 0.62
19 3.4e-002 8.8e-002 2.0e+000 1.01e+000 1.062730869e+002 1.832723456e+002 1.6e-005 0.66
20 1.0e-002 1.6e-001 6.0e-001 1.01e+000 1.497960809e+002 1.726423972e+002 4.8e-006 0.67
21 3.3e-003 1.6e-001 2.0e-001 1.01e+000 1.610940851e+002 1.686564111e+002 1.6e-006 0.69
22 1.5e-003 9.5e-002 9.2e-002 1.01e+000 1.641300714e+002 1.676157557e+002 7.4e-007 0.72
23 7.4e-004 7.7e-002 4.5e-002 1.01e+000 1.654552283e+002 1.671698570e+002 3.7e-007 0.73
24 3.1e-004 8.1e-002 1.9e-002 1.01e+000 1.661770015e+002 1.669062792e+002 1.6e-007 0.76
25 2.8e-004 7.5e-002 1.7e-002 1.01e+000 1.662368876e+002 1.668932480e+002 1.4e-007 0.78
26 2.5e-004 6.8e-002 1.6e-002 1.01e+000 1.662834223e+002 1.668739845e+002 1.3e-007 0.80
27 2.3e-004 6.2e-002 1.4e-002 1.01e+000 1.663258022e+002 1.668571744e+002 1.2e-007 0.83
28 2.0e-004 5.7e-002 1.3e-002 1.01e+000 1.663637170e+002 1.668418432e+002 1.0e-007 0.84
29 1.8e-004 5.2e-002 1.1e-002 1.01e+000 1.663977502e+002 1.668279752e+002 9.4e-008 0.87
30 1.7e-004 4.7e-002 1.0e-002 1.01e+000 1.664282876e+002 1.668154183e+002 8.4e-008 0.89
31 1.5e-004 4.3e-002 9.2e-003 1.01e+000 1.664556930e+002 1.668040526e+002 7.6e-008 0.90
32 1.3e-004 4.0e-002 8.3e-003 1.00e+000 1.664802884e+002 1.667937653e+002 6.8e-008 0.94
33 1.2e-004 3.7e-002 7.5e-003 1.00e+000 1.665023634e+002 1.667844550e+002 6.1e-008 0.95
34 1.1e-004 3.4e-002 6.7e-003 1.00e+000 1.665221776e+002 1.667760302e+002 5.5e-008 0.98
35 9.8e-005 3.1e-002 6.1e-003 1.00e+000 1.665399644e+002 1.667684079e+002 5.0e-008 1.00
36 8.8e-005 2.9e-002 5.5e-003 1.00e+000 1.665559329e+002 1.667615131e+002 4.5e-008 1.01
37 7.9e-005 2.7e-002 4.9e-003 1.00e+000 1.665702703e+002 1.667552777e+002 4.0e-008 1.04
38 7.1e-005 2.5e-002 4.4e-003 1.00e+000 1.665831447e+002 1.667496397e+002 3.6e-008 1.06
39 6.4e-005 2.3e-002 4.0e-003 1.00e+000 1.665947065e+002 1.667445428e+002 3.3e-008 1.08
40 5.8e-005 2.2e-002 3.6e-003 1.00e+000 1.666050903e+002 1.667399359e+002 2.9e-008 1.11
41 5.2e-005 2.0e-002 3.2e-003 1.00e+000 1.666144169e+002 1.667357726e+002 2.6e-008 1.12
42 4.7e-005 1.9e-002 2.9e-003 1.00e+000 1.666227946e+002 1.667320106e+002 2.4e-008 1.15
43 4.2e-005 1.8e-002 2.6e-003 1.00e+000 1.666303204e+002 1.667286117e+002 2.1e-008 1.17
44 3.8e-005 1.7e-002 2.3e-003 1.00e+000 1.666370814e+002 1.667255413e+002 1.9e-008 1.19
45 3.4e-005 1.6e-002 2.1e-003 1.00e+000 1.666431556e+002 1.667227678e+002 1.7e-008 1.22
46 3.1e-005 1.5e-002 1.9e-003 1.00e+000 1.666486132e+002 1.667202629e+002 1.6e-008 1.23
47 2.8e-005 1.5e-002 1.7e-003 1.00e+000 1.666535169e+002 1.667180008e+002 1.4e-008 1.26
48 2.5e-005 1.4e-002 1.5e-003 1.00e+000 1.666579233e+002 1.667159583e+002 1.3e-008 1.28
49 2.2e-005 1.3e-002 1.4e-003 1.00e+000 1.666618831e+002 1.667141142e+002 1.1e-008 1.29
50 2.0e-005 1.3e-002 1.2e-003 1.00e+000 1.666654417e+002 1.667124494e+002 1.0e-008 1.33
51 1.8e-005 1.2e-002 1.1e-003 1.00e+000 1.666686400e+002 1.667109468e+002 9.2e-009 1.34
52 1.6e-005 1.2e-002 1.0e-003 1.00e+000 1.666715146e+002 1.667095907e+002 8.3e-009 1.37
53 1.5e-005 1.2e-002 9.1e-004 1.00e+000 1.666740984e+002 1.667083670e+002 7.5e-009 1.39
54 1.3e-005 1.1e-002 8.2e-004 1.00e+000 1.666764211e+002 1.667072628e+002 6.7e-009 1.40
55 1.2e-005 1.1e-002 7.4e-004 1.00e+000 1.666785091e+002 1.667062667e+002 6.1e-009 1.44
56 1.1e-005 1.1e-002 6.6e-004 1.00e+000 1.666803862e+002 1.667053682e+002 5.5e-009 1.45
57 9.6e-006 1.0e-002 6.0e-004 1.00e+000 1.666820738e+002 1.667045578e+002 4.9e-009 1.47
58 8.6e-006 1.0e-002 5.4e-004 1.00e+000 1.666835912e+002 1.667038269e+002 4.4e-009 1.50
59 7.8e-006 1.0e-002 4.8e-004 1.00e+000 1.666849555e+002 1.667031678e+002 4.0e-009 1.51
60 7.0e-006 9.8e-003 4.4e-004 1.00e+000 1.666861823e+002 1.667025735e+002 3.6e-009 1.54
61 6.3e-006 9.7e-003 3.9e-004 1.00e+000 1.666872854e+002 1.667020376e+002 3.2e-009 1.56
62 5.7e-006 9.5e-003 3.5e-004 1.00e+000 1.666882773e+002 1.667015544e+002 2.9e-009 1.58
63 5.1e-006 9.4e-003 3.2e-004 1.00e+000 1.666891693e+002 1.667011188e+002 2.6e-009 1.61
64 4.6e-006 9.3e-003 2.9e-004 1.00e+000 1.666899714e+002 1.667007261e+002 2.4e-009 1.64
65 4.1e-006 9.2e-003 2.6e-004 1.00e+000 1.666906926e+002 1.667003719e+002 2.1e-009 1.65
66 3.7e-006 9.1e-003 2.3e-004 1.00e+000 1.666913411e+002 1.667000526e+002 1.9e-009 1.68
67 3.3e-006 9.0e-003 2.1e-004 1.00e+000 1.666919243e+002 1.666997647e+002 1.7e-009 1.70
68 3.0e-006 8.9e-003 1.9e-004 1.00e+000 1.666924486e+002 1.666995050e+002 1.5e-009 1.73
69 2.7e-006 8.8e-003 1.7e-004 1.00e+000 1.666929201e+002 1.666992710e+002 1.4e-009 1.76
70 2.4e-006 8.7e-003 1.5e-004 1.00e+000 1.666933442e+002 1.666990601e+002 1.3e-009 1.79
71 2.2e-006 8.7e-003 1.4e-004 1.00e+000 1.666937256e+002 1.666988699e+002 1.1e-009 1.83
72 2.0e-006 8.6e-003 1.2e-004 1.00e+000 1.666940686e+002 1.666986986e+002 1.0e-009 1.84
73 1.8e-006 8.6e-003 1.1e-004 1.00e+000 1.666943772e+002 1.666985442e+002 9.1e-010 1.86
74 1.6e-006 8.5e-003 1.0e-004 1.00e+000 1.666946547e+002 1.666984051e+002 8.2e-010 1.89
75 1.4e-006 8.5e-003 9.0e-005 1.00e+000 1.666949043e+002 1.666982797e+002 7.4e-010 1.90
76 1.3e-006 8.4e-003 8.1e-005 1.00e+000 1.666951288e+002 1.666981666e+002 6.6e-010 1.93
77 1.2e-006 8.4e-003 7.3e-005 1.00e+000 1.666953307e+002 1.666980647e+002 6.0e-010 1.95
78 1.1e-006 8.3e-003 6.5e-005 1.00e+000 1.666955123e+002 1.666979730e+002 5.4e-010 1.98
79 9.5e-007 8.3e-003 5.9e-005 1.00e+000 1.666956756e+002 1.666978903e+002 4.8e-010 2.00
80 8.5e-007 8.3e-003 5.3e-005 1.00e+000 1.666958224e+002 1.666978157e+002 4.4e-010 2.01
81 7.7e-007 8.2e-003 4.8e-005 1.00e+000 1.666959545e+002 1.666977485e+002 3.9e-010 2.04
82 6.9e-007 8.2e-003 4.3e-005 1.00e+000 1.666960732e+002 1.666976879e+002 3.5e-010 2.06
83 6.2e-007 8.2e-003 3.9e-005 1.00e+000 1.666961800e+002 1.666976331e+002 3.2e-010 2.09
84 5.6e-007 8.1e-003 3.5e-005 1.00e+000 1.666962761e+002 1.666975838e+002 2.9e-010 2.11
85 5.0e-007 8.1e-003 3.1e-005 1.00e+000 1.666963624e+002 1.666975394e+002 2.6e-010 2.12
86 4.5e-007 8.1e-003 2.8e-005 1.00e+000 1.666964401e+002 1.666974993e+002 2.3e-010 2.15
87 4.1e-007 8.1e-003 2.5e-005 1.00e+000 1.666965099e+002 1.666974631e+002 2.1e-010 2.17
88 3.7e-007 8.1e-003 2.3e-005 1.00e+000 1.666965727e+002 1.666974305e+002 1.9e-010 2.20
89 3.3e-007 8.0e-003 2.1e-005 9.96e-001 1.666966291e+002 1.666974014e+002 1.7e-010 2.21
90 3.0e-007 8.0e-003 1.8e-005 9.98e-001 1.666966799e+002 1.666973750e+002 1.5e-010 2.23
91 2.7e-007 8.0e-003 1.7e-005 9.98e-001 1.666967255e+002 1.666973512e+002 1.4e-010 2.26
92 2.4e-007 8.0e-003 1.5e-005 9.98e-001 1.666967666e+002 1.666973297e+002 1.2e-010 2.28
93 2.2e-007 7.9e-003 1.3e-005 1.00e+000 1.666968035e+002 1.666973103e+002 1.1e-010 2.31
94 1.9e-007 7.9e-003 1.2e-005 1.00e+000 1.666968368e+002 1.666972929e+002 1.0e-010 2.32
95 1.8e-007 7.9e-003 1.1e-005 9.97e-001 1.666968667e+002 1.666972772e+002 9.0e-011 2.36
96 1.6e-007 7.1e-003 9.8e-006 1.01e+000 1.666968938e+002 1.666972629e+002 8.1e-011 2.37
97 1.4e-007 6.4e-003 8.8e-006 9.96e-001 1.666969180e+002 1.666972503e+002 7.3e-011 2.40
98 1.3e-007 5.8e-003 8.0e-006 9.94e-001 1.666969398e+002 1.666972389e+002 6.6e-011 2.42
99 1.2e-007 5.2e-003 7.2e-006 9.96e-001 1.666969593e+002 1.666972286e+002 5.9e-011 2.43
100 1.0e-007 4.7e-003 6.4e-006 9.99e-001 1.666969770e+002 1.666972193e+002 5.3e-011 2.46
101 9.3e-008 4.2e-003 5.8e-006 9.96e-001 1.666969928e+002 1.666972110e+002 4.8e-011 2.48
102 8.4e-008 3.8e-003 5.2e-006 9.88e-001 1.666970071e+002 1.666972035e+002 4.3e-011 2.51
103 7.5e-008 3.4e-003 4.7e-006 9.82e-001 1.666970199e+002 1.666971969e+002 3.9e-011 2.53
104 6.8e-008 3.1e-003 4.2e-006 1.01e+000 1.666970318e+002 1.666971905e+002 3.5e-011 2.56
105 6.1e-008 2.8e-003 3.8e-006 9.78e-001 1.666970422e+002 1.666971852e+002 3.1e-011 2.57
106 5.5e-008 2.5e-003 3.4e-006 9.97e-001 1.666970515e+002 1.666971802e+002 2.8e-011 2.61
107 5.0e-008 2.2e-003 3.1e-006 9.89e-001 1.666970599e+002 1.666971758e+002 2.5e-011 2.62
108 4.5e-008 2.0e-003 2.8e-006 9.87e-001 1.666970674e+002 1.666971718e+002 2.3e-011 2.64
109 4.0e-008 1.8e-003 2.5e-006 9.96e-001 1.666970743e+002 1.666971682e+002 2.1e-011 2.67
110 3.6e-008 1.6e-003 2.2e-006 9.98e-001 1.666970804e+002 1.666971650e+002 1.9e-011 2.68
111 3.3e-008 1.5e-003 2.0e-006 9.89e-001 1.666970859e+002 1.666971621e+002 1.7e-011 2.71
112 2.9e-008 1.3e-003 1.8e-006 1.04e+000 1.666970918e+002 1.666971588e+002 1.5e-011 2.75
113 2.6e-008 1.2e-003 1.6e-006 1.02e+000 1.666970965e+002 1.666971562e+002 1.4e-011 2.76
114 2.4e-008 1.1e-003 1.5e-006 1.04e+000 1.666971012e+002 1.666971537e+002 1.3e-011 2.78
115 2.1e-008 9.6e-004 1.3e-006 9.72e-001 1.666971046e+002 1.666971519e+002 1.2e-011 2.81
116 1.9e-008 8.6e-004 1.2e-006 1.02e+000 1.666971079e+002 1.666971501e+002 1.0e-011 2.82
117 1.7e-008 7.8e-004 1.1e-006 9.80e-001 1.666971107e+002 1.666971487e+002 9.4e-012 2.85
118 1.6e-008 7.0e-004 9.7e-007 8.79e-001 1.666971131e+002 1.666971475e+002 8.5e-012 2.87
119 1.4e-008 6.3e-004 8.7e-007 9.54e-001 1.666971154e+002 1.666971464e+002 7.6e-012 2.89
120 1.3e-008 5.7e-004 7.8e-007 1.07e+000 1.666971181e+002 1.666971449e+002 7.1e-012 2.92
121 1.1e-008 5.1e-004 7.1e-007 8.91e-001 1.666971198e+002 1.666971440e+002 6.4e-012 2.93
122 1.0e-008 4.6e-004 6.3e-007 9.51e-001 1.666971214e+002 1.666971432e+002 5.8e-012 2.95
123 9.2e-009 4.1e-004 5.7e-007 1.43e+000 1.666971228e+002 1.666971421e+002 5.2e-012 2.98
124 8.4e-009 3.7e-004 5.1e-007 1.12e+000 1.666971248e+002 1.666971410e+002 4.9e-012 3.00
125 7.6e-009 3.3e-004 4.6e-007 1.12e+000 1.666971265e+002 1.666971401e+002 4.7e-012 3.03
126 8.0e-009 6.4e-005 8.9e-008 9.05e-001 1.666971339e+002 1.666971367e+002 1.0e-012 3.04
127 8.2e-010 8.2e-006 1.1e-008 1.05e+000 1.666971353e+002 1.666971357e+002 1.1e-013 3.07
Interior-point optimizer terminated. Time: 3.07.
Optimizer terminated. Time: 3.09
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6669713532e+002 Viol. con: 2e-008 var: 0e+000
Dual. obj: 1.6669713566e+002 Viol. con: 0e+000 var: 4e-005
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.11 seconds.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 943
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 943
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 782
Optimizer - Cones : 0
Optimizer - Scalar variables : 3474 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.03 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.66e+004 after factor : 1.51e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.290526767e+005 2.000000000e+000 1.0e+000 0.06
1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.269050126e+005 3.550789252e+000 4.8e-001 0.09
2 4.3e+002 5.6e+002 2.4e+004 -9.37e-001 -1.207918197e+005 9.973705923e+000 1.9e-001 0.11
3 2.9e+002 3.7e+002 1.6e+004 -8.41e-001 -1.161217076e+005 6.184047462e+001 1.3e-001 0.14
4 2.9e+002 3.7e+002 1.6e+004 -7.62e-001 -1.134149493e+005 2.352983562e+003 1.3e-001 0.17
5 7.4e+001 9.6e+001 4.1e+003 -7.54e-001 -7.421019013e+004 1.002106522e+004 3.3e-002 0.20
6 3.6e+001 4.6e+001 2.0e+003 -1.85e-001 -4.671978713e+004 1.025140306e+004 1.6e-002 0.23
7 2.1e+001 2.7e+001 1.2e+003 2.88e-001 -3.112327914e+004 6.996295136e+003 9.3e-003 0.27
8 1.3e+001 1.6e+001 7.1e+002 5.65e-001 -2.014687744e+004 4.690045547e+003 5.6e-003 0.28
9 5.0e+000 6.5e+000 2.8e+002 7.43e-001 -8.209964272e+003 2.305676104e+003 2.2e-003 0.31
10 2.4e+000 3.1e+000 1.3e+002 9.20e-001 -3.664569565e+003 1.416424305e+003 1.1e-003 0.33
11 1.6e+000 2.1e+000 9.2e+001 9.75e-001 -2.486311342e+003 1.032771544e+003 7.3e-004 0.36
12 8.5e-001 1.1e+000 4.7e+001 9.84e-001 -1.209358901e+003 6.220595777e+002 3.8e-004 0.38
13 7.7e-001 1.0e+000 4.3e+001 9.52e-001 -1.108059374e+003 5.757199713e+002 3.4e-004 0.41
14 3.8e-001 5.5e-001 2.2e+001 9.84e-001 -4.655058926e+002 3.816132566e+002 1.7e-004 0.42
15 1.8e-001 4.6e-001 1.0e+001 9.99e-001 -1.456679894e+002 2.590536652e+002 8.3e-005 0.45
16 9.2e-002 2.5e-001 5.3e+000 1.01e+000 1.204023392e+000 2.061784784e+002 4.2e-005 0.47
17 8.7e-002 2.4e-001 5.0e+000 1.01e+000 1.448660621e+001 2.078792054e+002 4.0e-005 0.50
18 6.0e-002 1.6e-001 3.4e+000 1.01e+000 6.219395914e+001 1.948061228e+002 2.8e-005 0.52
19 3.0e-002 9.5e-002 1.7e+000 1.01e+000 1.149418948e+002 1.812427525e+002 1.4e-005 0.53
20 8.4e-003 1.8e-001 4.9e-001 1.01e+000 1.528902795e+002 1.716269477e+002 3.9e-006 0.56
21 2.6e-003 1.8e-001 1.5e-001 1.00e+000 1.622358735e+002 1.680443276e+002 1.2e-006 0.58
22 1.5e-003 1.1e-001 8.9e-002 1.00e+000 1.640663208e+002 1.674837392e+002 7.2e-007 0.59
23 4.9e-004 1.1e-001 3.0e-002 1.01e+000 1.657588833e+002 1.668984368e+002 2.5e-007 0.61
24 1.9e-004 9.6e-002 1.2e-002 1.01e+000 1.662537844e+002 1.667099839e+002 1.0e-007 0.64
25 1.7e-004 8.7e-002 1.1e-002 1.01e+000 1.662893787e+002 1.666999278e+002 9.0e-008 0.66
26 1.6e-004 7.9e-002 9.8e-003 1.01e+000 1.663186682e+002 1.666880233e+002 8.1e-008 0.67
27 1.4e-004 7.2e-002 8.8e-003 1.01e+000 1.663451650e+002 1.666774766e+002 7.3e-008 0.69
28 1.3e-004 6.6e-002 7.9e-003 1.01e+000 1.663688870e+002 1.666678770e+002 6.5e-008 0.70
29 1.1e-004 6.0e-002 7.1e-003 1.01e+000 1.663901773e+002 1.666591940e+002 5.9e-008 0.73
30 1.0e-004 5.5e-002 6.4e-003 1.01e+000 1.664092787e+002 1.666513325e+002 5.3e-008 0.75
31 9.2e-005 5.0e-002 5.8e-003 1.01e+000 1.664264186e+002 1.666442169e+002 4.8e-008 0.78
32 8.3e-005 4.6e-002 5.2e-003 1.01e+000 1.664417992e+002 1.666377768e+002 4.3e-008 0.81
33 7.5e-005 4.2e-002 4.7e-003 1.01e+000 1.664556022e+002 1.666319488e+002 3.9e-008 0.84
34 6.7e-005 3.9e-002 4.2e-003 1.01e+000 1.664679906e+002 1.666266755e+002 3.5e-008 0.87
35 6.0e-005 3.6e-002 3.8e-003 1.01e+000 1.664791104e+002 1.666219050e+002 3.1e-008 0.89
36 5.4e-005 3.3e-002 3.4e-003 1.00e+000 1.664890925e+002 1.666175900e+002 2.8e-008 0.92
37 4.9e-005 3.0e-002 3.1e-003 1.00e+000 1.664980543e+002 1.666136878e+002 2.5e-008 0.95
38 4.4e-005 2.8e-002 2.8e-003 1.00e+000 1.665061007e+002 1.666101594e+002 2.3e-008 0.97
39 4.0e-005 2.6e-002 2.5e-003 1.00e+000 1.665133260e+002 1.666069697e+002 2.1e-008 1.00
40 3.6e-005 2.4e-002 2.2e-003 1.00e+000 1.665198145e+002 1.666040866e+002 1.9e-008 1.05
41 3.2e-005 2.3e-002 2.0e-003 1.00e+000 1.665256420e+002 1.666014811e+002 1.7e-008 1.08
42 2.9e-005 2.1e-002 1.8e-003 1.00e+000 1.665308763e+002 1.665991270e+002 1.5e-008 1.11
43 2.6e-005 2.0e-002 1.6e-003 1.00e+000 1.665355784e+002 1.665970003e+002 1.4e-008 1.14
44 2.3e-005 1.9e-002 1.5e-003 1.00e+000 1.665398026e+002 1.665950795e+002 1.2e-008 1.16
45 2.1e-005 1.8e-002 1.3e-003 1.00e+000 1.665435981e+002 1.665933451e+002 1.1e-008 1.19
46 1.9e-005 1.7e-002 1.2e-003 1.00e+000 1.665470087e+002 1.665917792e+002 9.9e-009 1.20
47 1.7e-005 1.6e-002 1.1e-003 1.00e+000 1.665500738e+002 1.665903659e+002 8.9e-009 1.23
48 1.5e-005 1.5e-002 9.6e-004 1.00e+000 1.665528288e+002 1.665890906e+002 8.0e-009 1.25
49 1.4e-005 1.4e-002 8.7e-004 1.00e+000 1.665553053e+002 1.665879402e+002 7.2e-009 1.28
50 1.2e-005 1.4e-002 7.8e-004 1.00e+000 1.665575317e+002 1.665869025e+002 6.5e-009 1.29
51 1.1e-005 1.3e-002 7.0e-004 1.00e+000 1.665595335e+002 1.665859668e+002 5.8e-009 1.33
52 1.0e-005 1.3e-002 6.3e-004 1.00e+000 1.665613335e+002 1.665851232e+002 5.2e-009 1.34
53 9.1e-006 1.2e-002 5.7e-004 1.00e+000 1.665629522e+002 1.665843628e+002 4.7e-009 1.37
54 8.2e-006 1.2e-002 5.1e-004 1.00e+000 1.665644080e+002 1.665836774e+002 4.2e-009 1.39
55 7.3e-006 1.1e-002 4.6e-004 1.00e+000 1.665657174e+002 1.665830598e+002 3.8e-009 1.42
56 6.6e-006 1.1e-002 4.1e-004 1.00e+000 1.665668952e+002 1.665825032e+002 3.4e-009 1.44
57 5.9e-006 1.1e-002 3.7e-004 1.00e+000 1.665679546e+002 1.665820018e+002 3.1e-009 1.47
58 5.4e-006 1.0e-002 3.4e-004 1.00e+000 1.665689075e+002 1.665815500e+002 2.8e-009 1.48
59 4.8e-006 1.0e-002 3.0e-004 1.00e+000 1.665697646e+002 1.665811430e+002 2.5e-009 1.51
60 4.3e-006 1.0e-002 2.7e-004 1.00e+000 1.665705356e+002 1.665807762e+002 2.3e-009 1.53
61 3.9e-006 9.8e-003 2.4e-004 1.00e+000 1.665712292e+002 1.665804457e+002 2.0e-009 1.56
62 3.5e-006 9.6e-003 2.2e-004 1.00e+000 1.665718529e+002 1.665801479e+002 1.8e-009 1.58
63 3.2e-006 9.5e-003 2.0e-004 1.00e+000 1.665724140e+002 1.665798795e+002 1.6e-009 1.59
64 2.8e-006 9.3e-003 1.8e-004 1.00e+000 1.665729186e+002 1.665796376e+002 1.5e-009 1.62
65 2.6e-006 9.2e-003 1.6e-004 1.00e+000 1.665733725e+002 1.665794195e+002 1.3e-009 1.64
66 2.3e-006 9.1e-003 1.4e-004 1.00e+000 1.665737807e+002 1.665792232e+002 1.2e-009 1.67
67 2.1e-006 9.0e-003 1.3e-004 1.00e+000 1.665741480e+002 1.665790462e+002 1.1e-009 1.69
68 1.9e-006 8.9e-003 1.2e-004 1.00e+000 1.665744784e+002 1.665788868e+002 9.7e-010 1.72
69 1.7e-006 8.8e-003 1.1e-004 1.00e+000 1.665747756e+002 1.665787431e+002 8.7e-010 1.73
70 1.5e-006 8.7e-003 9.5e-005 1.00e+000 1.665750429e+002 1.665786138e+002 7.9e-010 1.76
71 1.4e-006 8.6e-003 8.5e-005 1.00e+000 1.665752834e+002 1.665784972e+002 7.1e-010 1.78
72 1.2e-006 8.6e-003 7.7e-005 1.00e+000 1.665754998e+002 1.665783922e+002 6.4e-010 1.81
73 1.1e-006 8.5e-003 6.9e-005 1.00e+000 1.665756944e+002 1.665782976e+002 5.7e-010 1.83
74 9.9e-007 8.5e-003 6.2e-005 1.00e+000 1.665758694e+002 1.665782123e+002 5.2e-010 1.84
75 8.9e-007 8.4e-003 5.6e-005 1.00e+000 1.665760269e+002 1.665781356e+002 4.6e-010 1.87
76 8.0e-007 8.4e-003 5.0e-005 9.99e-001 1.665761685e+002 1.665780664e+002 4.2e-010 1.89
77 7.2e-007 8.3e-003 4.5e-005 1.00e+000 1.665762959e+002 1.665780040e+002 3.8e-010 1.92
78 6.5e-007 8.3e-003 4.1e-005 1.00e+000 1.665764104e+002 1.665779477e+002 3.4e-010 1.94
79 5.9e-007 8.2e-003 3.7e-005 1.00e+000 1.665765135e+002 1.665778970e+002 3.1e-010 1.97
80 5.3e-007 8.2e-003 3.3e-005 1.00e+000 1.665766061e+002 1.665778513e+002 2.7e-010 1.98
81 4.7e-007 8.2e-003 3.0e-005 1.00e+000 1.665766894e+002 1.665778101e+002 2.5e-010 2.00
82 4.3e-007 8.1e-003 2.7e-005 9.99e-001 1.665767644e+002 1.665777730e+002 2.2e-010 2.03
83 3.8e-007 8.1e-003 2.4e-005 9.99e-001 1.665768317e+002 1.665777396e+002 2.0e-010 2.04
84 3.5e-007 8.1e-003 2.2e-005 1.00e+000 1.665768923e+002 1.665777094e+002 1.8e-010 2.08
85 3.1e-007 8.1e-003 2.0e-005 9.99e-001 1.665769468e+002 1.665776822e+002 1.6e-010 2.09
86 2.8e-007 8.0e-003 1.8e-005 1.00e+000 1.665769958e+002 1.665776577e+002 1.5e-010 2.12
87 2.5e-007 8.0e-003 1.6e-005 1.00e+000 1.665770400e+002 1.665776355e+002 1.3e-010 2.14
88 2.3e-007 8.0e-003 1.4e-005 1.00e+000 1.665770797e+002 1.665776156e+002 1.2e-010 2.17
89 2.0e-007 8.0e-003 1.3e-005 1.00e+000 1.665771153e+002 1.665775977e+002 1.1e-010 2.19
90 1.8e-007 8.0e-003 1.2e-005 1.00e+000 1.665771474e+002 1.665775815e+002 9.6e-011 2.22
91 1.7e-007 7.9e-003 1.0e-005 9.96e-001 1.665771763e+002 1.665775670e+002 8.6e-011 2.23
92 1.5e-007 7.9e-003 9.3e-006 1.00e+000 1.665772023e+002 1.665775540e+002 7.8e-011 2.25
93 1.3e-007 7.9e-003 8.4e-006 1.00e+000 1.665772257e+002 1.665775421e+002 7.0e-011 2.28
94 1.2e-007 7.9e-003 7.6e-006 9.94e-001 1.665772467e+002 1.665775316e+002 6.3e-011 2.29
95 1.1e-007 7.8e-003 6.8e-006 9.98e-001 1.665772656e+002 1.665775221e+002 5.7e-011 2.33
96 9.8e-008 7.8e-003 6.1e-006 9.96e-001 1.665772826e+002 1.665775135e+002 5.1e-011 2.34
97 8.8e-008 7.8e-003 5.5e-006 1.00e+000 1.665772980e+002 1.665775057e+002 4.6e-011 2.36
98 7.9e-008 7.8e-003 5.0e-006 9.91e-001 1.665773117e+002 1.665774988e+002 4.1e-011 2.39
99 7.1e-008 7.8e-003 4.5e-006 9.99e-001 1.665773242e+002 1.665774925e+002 3.7e-011 2.40
100 6.4e-008 7.7e-003 4.0e-006 9.93e-001 1.665773353e+002 1.665774869e+002 3.3e-011 2.42
101 5.8e-008 6.9e-003 3.6e-006 1.00e+000 1.665773454e+002 1.665774818e+002 3.0e-011 2.45
102 5.2e-008 6.3e-003 3.3e-006 1.00e+000 1.665773544e+002 1.665774772e+002 2.7e-011 2.46
103 4.7e-008 5.6e-003 2.9e-006 1.01e+000 1.665773630e+002 1.665774729e+002 2.4e-011 2.50
104 4.2e-008 5.1e-003 2.6e-006 9.94e-001 1.665773702e+002 1.665774692e+002 2.2e-011 2.51
105 3.8e-008 4.6e-003 2.4e-006 9.90e-001 1.665773768e+002 1.665774659e+002 2.0e-011 2.54
106 3.4e-008 4.1e-003 2.1e-006 9.81e-001 1.665773827e+002 1.665774629e+002 1.8e-011 2.56
107 3.1e-008 3.7e-003 1.9e-006 9.86e-001 1.665773880e+002 1.665774603e+002 1.6e-011 2.58
108 2.8e-008 3.3e-003 1.7e-006 1.01e+000 1.665773930e+002 1.665774577e+002 1.5e-011 2.61
109 2.5e-008 3.0e-003 1.6e-006 9.61e-001 1.665773973e+002 1.665774556e+002 1.3e-011 2.62
110 2.2e-008 2.7e-003 1.4e-006 9.86e-001 1.665774011e+002 1.665774537e+002 1.2e-011 2.65
111 2.0e-008 2.4e-003 1.3e-006 1.05e+000 1.665774053e+002 1.665774514e+002 1.1e-011 2.67
112 1.8e-008 2.2e-003 1.1e-006 1.02e+000 1.665774087e+002 1.665774497e+002 9.9e-012 2.68
113 1.6e-008 2.0e-003 1.0e-006 1.03e+000 1.665774118e+002 1.665774481e+002 9.0e-012 2.71
114 1.5e-008 1.8e-003 9.2e-007 1.03e+000 1.665774145e+002 1.665774466e+002 8.2e-012 2.73
115 1.3e-008 1.6e-003 8.3e-007 1.00e+000 1.665774167e+002 1.665774456e+002 7.4e-012 2.75
116 1.2e-008 1.4e-003 7.5e-007 1.02e+000 1.665774188e+002 1.665774445e+002 6.7e-012 2.78
117 1.1e-008 1.3e-003 6.7e-007 9.85e-001 1.665774205e+002 1.665774436e+002 6.1e-012 2.79
118 9.7e-009 1.2e-003 6.0e-007 9.73e-001 1.665774220e+002 1.665774429e+002 5.5e-012 2.81
119 8.8e-009 1.0e-003 5.4e-007 1.00e+000 1.665774234e+002 1.665774422e+002 4.9e-012 2.84
120 7.8e-009 9.4e-004 4.9e-007 9.56e-001 1.665774247e+002 1.665774416e+002 4.4e-012 2.86
121 7.1e-009 8.4e-004 4.4e-007 9.47e-001 1.665774258e+002 1.665774410e+002 4.0e-012 2.89
122 6.4e-009 7.6e-004 4.0e-007 1.05e+000 1.665774270e+002 1.665774404e+002 3.7e-012 2.90
123 5.7e-009 6.8e-004 3.6e-007 9.70e-001 1.665774279e+002 1.665774400e+002 3.3e-012 2.92
124 5.1e-009 6.2e-004 3.2e-007 1.04e+000 1.665774288e+002 1.665774394e+002 3.0e-012 2.95
125 4.7e-009 5.5e-004 2.9e-007 1.03e+000 1.665774297e+002 1.665774390e+002 2.8e-012 2.96
126 4.3e-009 5.0e-004 2.6e-007 1.23e+000 1.665774303e+002 1.665774386e+002 2.5e-012 3.00
127 3.8e-009 4.5e-004 2.3e-007 8.76e-001 1.665774308e+002 1.665774384e+002 2.2e-012 3.01
128 4.2e-009 4.0e-004 2.1e-007 1.21e+000 1.665774318e+002 1.665774378e+002 2.2e-012 3.03
129 1.7e-009 8.1e-005 4.2e-008 1.03e+000 1.665774351e+002 1.665774362e+002 4.4e-013 3.06
Interior-point optimizer terminated. Time: 3.06.
Optimizer terminated. Time: 3.07
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6657743506e+002 Viol. con: 2e-008 var: 0e+000
Dual. obj: 1.6657743624e+002 Viol. con: 0e+000 var: 4e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.09 seconds.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 943
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 943
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.05
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 782
Optimizer - Cones : 0
Optimizer - Scalar variables : 3474 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.66e+004 after factor : 1.51e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.290477114e+005 2.000000000e+000 1.0e+000 0.11
1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.268845563e+005 3.548573839e+000 4.8e-001 0.14
2 4.3e+002 5.5e+002 2.4e+004 -9.36e-001 -1.207248505e+005 1.005156748e+001 1.9e-001 0.17
3 2.9e+002 3.7e+002 1.6e+004 -8.40e-001 -1.160415573e+005 6.286293495e+001 1.3e-001 0.20
4 2.9e+002 3.7e+002 1.6e+004 -7.61e-001 -1.133635922e+005 2.329542637e+003 1.3e-001 0.23
5 7.6e+001 9.7e+001 4.2e+003 -7.54e-001 -7.505272789e+004 9.827685658e+003 3.3e-002 0.27
6 3.4e+001 4.3e+001 1.9e+003 -1.97e-001 -4.407627693e+004 1.048719374e+004 1.5e-002 0.30
7 2.0e+001 2.6e+001 1.1e+003 3.34e-001 -2.925460555e+004 7.095041459e+003 8.7e-003 0.33
8 1.2e+001 1.6e+001 6.8e+002 5.97e-001 -1.924850753e+004 4.669724726e+003 5.4e-003 0.34
9 4.9e+000 6.2e+000 2.7e+002 7.58e-001 -7.883444727e+003 2.249279697e+003 2.1e-003 0.37
10 2.3e+000 2.9e+000 1.3e+002 9.24e-001 -3.493715069e+003 1.423700194e+003 1.0e-003 0.39
11 1.5e+000 1.9e+000 8.4e+001 9.77e-001 -2.262097232e+003 9.777069329e+002 6.7e-004 0.42
12 8.7e-001 1.1e+000 4.8e+001 9.85e-001 -1.240373587e+003 6.378954984e+002 3.8e-004 0.45
13 7.6e-001 1.0e+000 4.3e+001 9.55e-001 -1.093420093e+003 5.738607259e+002 3.4e-004 0.47
14 3.6e-001 4.9e-001 2.0e+001 9.86e-001 -4.205380202e+002 3.689835610e+002 1.6e-004 0.50
15 1.7e-001 2.5e-001 9.8e+000 1.00e+000 -1.287535161e+002 2.535094983e+002 7.8e-005 0.51
16 8.9e-002 1.6e-001 5.1e+000 1.01e+000 6.282337855e+000 2.049111725e+002 4.1e-005 0.53
17 8.6e-002 1.5e-001 4.9e+000 1.02e+000 1.607264033e+001 2.068502033e+002 3.9e-005 0.56
18 5.8e-002 1.1e-001 3.3e+000 1.01e+000 6.557788518e+001 1.937877403e+002 2.7e-005 0.59
19 2.8e-002 7.1e-002 1.6e+000 1.02e+000 1.185216270e+002 1.803124525e+002 1.3e-005 0.61
20 8.0e-003 1.8e-001 4.7e-001 1.01e+000 1.535581786e+002 1.713566134e+002 3.7e-006 0.64
21 2.7e-003 2.1e-001 1.6e-001 1.00e+000 1.618079064e+002 1.680118704e+002 1.3e-006 0.66
22 1.4e-003 1.2e-001 8.5e-002 1.01e+000 1.641351623e+002 1.673657905e+002 6.9e-007 0.69
23 4.6e-004 1.1e-001 2.8e-002 1.01e+000 1.657487139e+002 1.668149553e+002 2.3e-007 0.70
24 1.6e-004 1.1e-001 1.0e-002 1.01e+000 1.662446143e+002 1.666281924e+002 8.4e-008 0.73
25 1.5e-004 9.6e-002 9.1e-003 1.01e+000 1.662740225e+002 1.666191082e+002 7.6e-008 0.76
26 1.3e-004 8.7e-002 8.2e-003 1.01e+000 1.662986039e+002 1.666090485e+002 6.8e-008 0.78
27 1.2e-004 7.9e-002 7.4e-003 1.01e+000 1.663208238e+002 1.666001171e+002 6.2e-008 0.81
28 1.1e-004 7.2e-002 6.7e-003 1.01e+000 1.663407311e+002 1.665920075e+002 5.5e-008 0.83
29 9.5e-005 6.6e-002 6.0e-003 1.01e+000 1.663585943e+002 1.665846703e+002 5.0e-008 0.86
30 8.6e-005 6.0e-002 5.4e-003 1.01e+000 1.663746197e+002 1.665780279e+002 4.5e-008 0.87
31 7.7e-005 5.5e-002 4.9e-003 1.01e+000 1.663889976e+002 1.665720154e+002 4.0e-008 0.90
32 7.0e-005 5.0e-002 4.4e-003 1.01e+000 1.664018983e+002 1.665665734e+002 3.6e-008 0.92
33 6.3e-005 4.6e-002 3.9e-003 1.01e+000 1.664134746e+002 1.665616487e+002 3.3e-008 0.95
34 5.6e-005 4.2e-002 3.5e-003 1.01e+000 1.664238636e+002 1.665571929e+002 2.9e-008 0.98
35 5.1e-005 3.9e-002 3.2e-003 1.01e+000 1.664331881e+002 1.665531621e+002 2.7e-008 1.01
36 4.6e-005 3.5e-002 2.9e-003 1.01e+000 1.664415583e+002 1.665495166e+002 2.4e-008 1.03
37 4.1e-005 3.3e-002 2.6e-003 1.00e+000 1.664490725e+002 1.665462202e+002 2.2e-008 1.04
38 3.7e-005 3.0e-002 2.3e-003 1.00e+000 1.664558193e+002 1.665432402e+002 1.9e-008 1.08
39 3.3e-005 2.8e-002 2.1e-003 1.00e+000 1.664618775e+002 1.665405467e+002 1.7e-008 1.09
40 3.0e-005 2.6e-002 1.9e-003 1.00e+000 1.664673182e+002 1.665381126e+002 1.6e-008 1.11
41 2.7e-005 2.4e-002 1.7e-003 1.00e+000 1.664722048e+002 1.665359135e+002 1.4e-008 1.14
42 2.4e-005 2.2e-002 1.5e-003 1.00e+000 1.664765942e+002 1.665339270e+002 1.3e-008 1.15
43 2.2e-005 2.1e-002 1.4e-003 1.00e+000 1.664805374e+002 1.665321329e+002 1.1e-008 1.17
44 2.0e-005 2.0e-002 1.2e-003 1.00e+000 1.664840800e+002 1.665305128e+002 1.0e-008 1.20
45 1.8e-005 1.9e-002 1.1e-003 1.00e+000 1.664872632e+002 1.665290501e+002 9.3e-009 1.22
46 1.6e-005 1.7e-002 1.0e-003 1.00e+000 1.664901236e+002 1.665277298e+002 8.3e-009 1.23
47 1.4e-005 1.6e-002 9.0e-004 1.00e+000 1.664926943e+002 1.665265383e+002 7.5e-009 1.26
48 1.3e-005 1.6e-002 8.1e-004 1.00e+000 1.664950049e+002 1.665254632e+002 6.8e-009 1.28
49 1.2e-005 1.5e-002 7.3e-004 1.00e+000 1.664970818e+002 1.665244933e+002 6.1e-009 1.29
50 1.0e-005 1.4e-002 6.6e-004 1.00e+000 1.664989489e+002 1.665236186e+002 5.5e-009 1.33
51 9.4e-006 1.4e-002 5.9e-004 1.00e+000 1.665006276e+002 1.665228297e+002 4.9e-009 1.34
52 8.5e-006 1.3e-002 5.3e-004 1.00e+000 1.665021370e+002 1.665221184e+002 4.4e-009 1.37
53 7.6e-006 1.2e-002 4.8e-004 1.00e+000 1.665034944e+002 1.665214773e+002 4.0e-009 1.39
54 6.9e-006 1.2e-002 4.3e-004 1.00e+000 1.665047150e+002 1.665208994e+002 3.6e-009 1.40
55 6.2e-006 1.2e-002 3.9e-004 1.00e+000 1.665058129e+002 1.665203787e+002 3.2e-009 1.44
56 5.6e-006 1.1e-002 3.5e-004 1.00e+000 1.665068005e+002 1.665199095e+002 2.9e-009 1.45
57 5.0e-006 1.1e-002 3.1e-004 1.00e+000 1.665076888e+002 1.665194868e+002 2.6e-009 1.47
58 4.5e-006 1.1e-002 2.8e-004 1.00e+000 1.665084879e+002 1.665191060e+002 2.4e-009 1.50
59 4.0e-006 1.0e-002 2.5e-004 1.00e+000 1.665092067e+002 1.665187630e+002 2.1e-009 1.51
60 3.6e-006 1.0e-002 2.3e-004 1.00e+000 1.665098534e+002 1.665184540e+002 1.9e-009 1.53
61 3.3e-006 9.9e-003 2.1e-004 1.00e+000 1.665104351e+002 1.665181757e+002 1.7e-009 1.56
62 2.9e-006 9.7e-003 1.9e-004 1.00e+000 1.665109585e+002 1.665179250e+002 1.5e-009 1.58
63 2.7e-006 9.5e-003 1.7e-004 1.00e+000 1.665114293e+002 1.665176992e+002 1.4e-009 1.59
64 2.4e-006 9.3e-003 1.5e-004 1.00e+000 1.665118530e+002 1.665174958e+002 1.3e-009 1.62
65 2.2e-006 9.2e-003 1.4e-004 1.00e+000 1.665122342e+002 1.665173127e+002 1.1e-009 1.64
66 1.9e-006 9.1e-003 1.2e-004 1.00e+000 1.665125772e+002 1.665171479e+002 1.0e-009 1.65
67 1.7e-006 8.9e-003 1.1e-004 1.00e+000 1.665128859e+002 1.665169996e+002 9.1e-010 1.67
68 1.6e-006 8.8e-003 9.9e-005 1.00e+000 1.665131637e+002 1.665168660e+002 8.2e-010 1.70
69 1.4e-006 8.7e-003 8.9e-005 1.00e+000 1.665134137e+002 1.665167458e+002 7.4e-010 1.72
70 1.3e-006 8.6e-003 8.0e-005 1.00e+000 1.665136387e+002 1.665166377e+002 6.7e-010 1.75
71 1.1e-006 8.6e-003 7.2e-005 1.00e+000 1.665138412e+002 1.665165402e+002 6.0e-010 1.76
72 1.0e-006 8.5e-003 6.5e-005 1.00e+000 1.665140234e+002 1.665164525e+002 5.4e-010 1.78
73 9.3e-007 8.4e-003 5.8e-005 1.00e+000 1.665141873e+002 1.665163736e+002 4.9e-010 1.81
74 8.3e-007 8.3e-003 5.2e-005 1.00e+000 1.665143349e+002 1.665163025e+002 4.4e-010 1.83
75 7.5e-007 8.3e-003 4.7e-005 1.00e+000 1.665144676e+002 1.665162385e+002 3.9e-010 1.84
76 6.7e-007 8.2e-003 4.2e-005 1.00e+000 1.665145871e+002 1.665161809e+002 3.5e-010 1.86
77 6.1e-007 8.2e-003 3.8e-005 1.00e+000 1.665146945e+002 1.665161289e+002 3.2e-010 1.89
78 5.5e-007 8.1e-003 3.4e-005 1.00e+000 1.665147912e+002 1.665160822e+002 2.9e-010 1.90
79 4.9e-007 8.1e-003 3.1e-005 1.00e+000 1.665148782e+002 1.665160400e+002 2.6e-010 1.93
80 4.4e-007 8.1e-003 2.8e-005 1.00e+000 1.665149564e+002 1.665160021e+002 2.3e-010 1.95
81 4.0e-007 8.0e-003 2.5e-005 1.00e+000 1.665150268e+002 1.665159679e+002 2.1e-010 1.97
82 3.6e-007 8.0e-003 2.3e-005 1.00e+000 1.665150901e+002 1.665159371e+002 1.9e-010 2.00
83 3.2e-007 8.0e-003 2.0e-005 1.00e+000 1.665151470e+002 1.665159093e+002 1.7e-010 2.01
84 2.9e-007 7.9e-003 1.8e-005 1.00e+000 1.665151983e+002 1.665158843e+002 1.5e-010 2.04
85 2.6e-007 7.9e-003 1.6e-005 9.99e-001 1.665152444e+002 1.665158618e+002 1.4e-010 2.07
86 2.4e-007 7.9e-003 1.5e-005 1.00e+000 1.665152858e+002 1.665158416e+002 1.2e-010 2.09
87 2.1e-007 7.8e-003 1.3e-005 9.99e-001 1.665153231e+002 1.665158233e+002 1.1e-010 2.11
88 1.9e-007 7.8e-003 1.2e-005 1.00e+000 1.665153567e+002 1.665158069e+002 1.0e-010 2.14
89 1.7e-007 7.8e-003 1.1e-005 1.00e+000 1.665153869e+002 1.665157921e+002 9.0e-011 2.15
90 1.5e-007 7.8e-003 9.7e-006 1.00e+000 1.665154141e+002 1.665157787e+002 8.1e-011 2.17
91 1.4e-007 7.8e-003 8.7e-006 1.00e+000 1.665154385e+002 1.665157667e+002 7.3e-011 2.20
92 1.3e-007 7.7e-003 7.9e-006 1.00e+000 1.665154605e+002 1.665157559e+002 6.6e-011 2.21
93 1.1e-007 7.0e-003 7.1e-006 1.01e+000 1.665154806e+002 1.665157460e+002 5.9e-011 2.23
94 1.0e-007 6.3e-003 6.4e-006 1.00e+000 1.665154986e+002 1.665157371e+002 5.3e-011 2.26
95 9.1e-008 5.6e-003 5.7e-006 1.01e+000 1.665155151e+002 1.665157289e+002 4.8e-011 2.28
96 8.2e-008 5.1e-003 5.2e-006 1.01e+000 1.665155299e+002 1.665157216e+002 4.3e-011 2.29
97 7.4e-008 4.6e-003 4.6e-006 1.01e+000 1.665155434e+002 1.665157149e+002 3.9e-011 2.32
98 6.6e-008 4.1e-003 4.2e-006 9.97e-001 1.665155549e+002 1.665157093e+002 3.5e-011 2.34
99 6.0e-008 3.7e-003 3.8e-006 1.01e+000 1.665155656e+002 1.665157040e+002 3.2e-011 2.36
100 5.4e-008 3.3e-003 3.4e-006 1.01e+000 1.665155753e+002 1.665156992e+002 2.9e-011 2.39
101 4.8e-008 3.0e-003 3.0e-006 1.03e+000 1.665155846e+002 1.665156945e+002 2.6e-011 2.40
102 4.4e-008 2.7e-003 2.7e-006 9.88e-001 1.665155920e+002 1.665156909e+002 2.4e-011 2.42
103 3.9e-008 2.4e-003 2.5e-006 9.98e-001 1.665155986e+002 1.665156877e+002 2.1e-011 2.45
104 3.5e-008 2.2e-003 2.2e-006 1.01e+000 1.665156047e+002 1.665156847e+002 1.9e-011 2.46
105 3.2e-008 2.0e-003 2.0e-006 9.44e-001 1.665156100e+002 1.665156821e+002 1.7e-011 2.48
106 2.9e-008 1.8e-003 1.8e-006 1.01e+000 1.665156151e+002 1.665156796e+002 1.6e-011 2.51
107 2.6e-008 1.6e-003 1.6e-006 9.81e-001 1.665156195e+002 1.665156775e+002 1.4e-011 2.53
108 2.3e-008 1.4e-003 1.5e-006 9.00e-001 1.665156233e+002 1.665156757e+002 1.3e-011 2.54
109 2.1e-008 1.3e-003 1.3e-006 1.01e+000 1.665156270e+002 1.665156739e+002 1.1e-011 2.57
110 1.9e-008 1.2e-003 1.2e-006 9.58e-001 1.665156301e+002 1.665156723e+002 1.0e-011 2.59
111 1.8e-008 1.0e-003 1.1e-006 9.77e-001 1.665156329e+002 1.665156710e+002 9.3e-012 2.61
112 1.6e-008 9.4e-004 9.6e-007 8.91e-001 1.665156354e+002 1.665156698e+002 8.4e-012 2.64
113 1.5e-008 8.5e-004 8.6e-007 1.03e+000 1.665156381e+002 1.665156684e+002 7.6e-012 2.65
114 1.3e-008 7.6e-004 7.7e-007 7.82e-001 1.665156402e+002 1.665156672e+002 6.9e-012 2.67
115 1.2e-008 6.9e-004 7.0e-007 7.44e-001 1.665156419e+002 1.665156666e+002 6.2e-012 2.70
116 1.0e-008 6.2e-004 6.3e-007 9.14e-001 1.665156435e+002 1.665156659e+002 5.6e-012 2.71
117 9.4e-009 5.6e-004 5.6e-007 1.07e+000 1.665156455e+002 1.665156648e+002 5.2e-012 2.73
118 9.1e-009 5.0e-004 5.1e-007 1.50e+000 1.665156466e+002 1.665156648e+002 4.7e-012 2.76
119 9.3e-009 4.5e-004 4.6e-007 8.15e-001 1.665156477e+002 1.665156645e+002 4.2e-012 2.78
120 8.5e-009 4.1e-004 4.1e-007 5.65e-001 1.665156488e+002 1.665156638e+002 3.8e-012 2.79
121 9.7e-009 3.6e-004 3.7e-007 6.43e-001 1.665156497e+002 1.665156636e+002 3.4e-012 2.82
122 9.2e-009 3.3e-004 3.3e-007 3.32e-001 1.665156505e+002 1.665156631e+002 3.1e-012 2.84
123 1.7e-008 3.0e-004 4.0e-007 1.00e+000 1.665156477e+002 1.665156626e+002 2.8e-012 2.85
124 1.7e-008 2.7e-004 3.6e-007 5.71e-001 1.665156489e+002 1.665156619e+002 2.5e-012 2.89
125 2.8e-008 2.4e-004 4.0e-007 1.00e+000 1.665156468e+002 1.665156616e+002 2.2e-012 2.90
126 2.5e-008 2.2e-004 3.8e-007 1.00e+000 1.665156476e+002 1.665156612e+002 2.0e-012 2.92
127 3.0e-008 1.9e-004 3.4e-007 2.87e+000 1.665156480e+002 1.665156616e+002 1.8e-012 2.95
128 2.7e-008 1.7e-004 3.0e-007 8.44e-001 1.665156489e+002 1.665156614e+002 1.6e-012 2.96
129 2.4e-008 1.6e-004 2.7e-007 8.82e-001 1.665156498e+002 1.665156611e+002 1.5e-012 2.98
130 2.2e-008 1.4e-004 2.5e-007 1.02e+000 1.665156508e+002 1.665156608e+002 1.3e-012 3.01
131 2.0e-008 1.3e-004 2.2e-007 9.04e-001 1.665156515e+002 1.665156606e+002 1.2e-012 3.03
132 1.8e-008 1.1e-004 2.0e-007 7.11e-001 1.665156522e+002 1.665156604e+002 1.1e-012 3.04
133 1.6e-008 1.0e-004 1.8e-007 7.28e-001 1.665156528e+002 1.665156603e+002 9.8e-013 3.07
Interior-point optimizer terminated. Time: 3.07.
Optimizer terminated. Time: 3.09
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6651565275e+002 Viol. con: 5e-007 var: 0e+000
Dual. obj: 1.6651566026e+002 Viol. con: 0e+000 var: 8e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.1 seconds.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 943
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 943
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.05
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 782
Optimizer - Cones : 0
Optimizer - Scalar variables : 3473 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.66e+004 after factor : 1.51e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.289751440e+005 2.000000000e+000 1.0e+000 0.11
1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.268088079e+005 3.547211103e+000 4.8e-001 0.14
2 4.3e+002 5.5e+002 2.4e+004 -9.36e-001 -1.206180771e+005 1.008812040e+001 1.9e-001 0.17
3 2.9e+002 3.7e+002 1.6e+004 -8.40e-001 -1.159245501e+005 6.338942107e+001 1.3e-001 0.20
4 2.9e+002 3.7e+002 1.6e+004 -7.60e-001 -1.132635147e+005 2.316773530e+003 1.2e-001 0.23
5 7.7e+001 9.8e+001 4.2e+003 -7.53e-001 -7.529593290e+004 9.743648553e+003 3.3e-002 0.25
6 3.1e+001 3.9e+001 1.7e+003 -2.01e-001 -4.082468185e+004 1.050218478e+004 1.3e-002 0.28
7 1.8e+001 2.3e+001 1.0e+003 3.91e-001 -2.712267912e+004 6.792462808e+003 8.0e-003 0.31
8 1.0e+001 1.3e+001 5.6e+002 6.32e-001 -1.617377624e+004 4.042684901e+003 4.4e-003 0.33
9 4.2e+000 5.4e+000 2.3e+002 8.06e-001 -6.790224602e+003 1.994629119e+003 1.8e-003 0.34
10 2.1e+000 2.7e+000 1.2e+002 9.37e-001 -3.315631291e+003 1.243145652e+003 9.4e-004 0.37
11 1.1e+000 1.5e+000 6.4e+001 9.80e-001 -1.677015305e+003 7.954685350e+002 5.1e-004 0.39
12 7.3e-001 9.4e-001 4.1e+001 9.81e-001 -1.039045129e+003 5.667669492e+002 3.3e-004 0.42
13 4.8e-001 6.6e-001 2.7e+001 9.69e-001 -6.199278071e+002 4.295863692e+002 2.1e-004 0.44
14 1.8e-001 2.8e-001 1.0e+001 9.94e-001 -1.443414326e+002 2.623916554e+002 8.3e-005 0.47
15 1.1e-001 2.0e-001 6.4e+000 1.01e+000 -3.058004036e+001 2.192831183e+002 5.1e-005 0.50
16 6.7e-002 1.2e-001 3.8e+000 1.01e+000 5.030333394e+001 1.976453716e+002 3.1e-005 0.52
17 3.2e-002 7.1e-002 1.8e+000 1.01e+000 1.121249801e+002 1.820068370e+002 1.5e-005 0.55
18 9.0e-003 1.7e-001 5.2e-001 1.01e+000 1.518641294e+002 1.718613567e+002 4.2e-006 0.56
19 3.1e-003 2.0e-001 1.8e-001 1.01e+000 1.612185576e+002 1.681445792e+002 1.5e-006 0.59
20 1.9e-003 1.3e-001 1.1e-001 1.01e+000 1.632528367e+002 1.675620904e+002 9.2e-007 0.61
21 5.8e-004 1.3e-001 3.5e-002 1.01e+000 1.655105477e+002 1.668502319e+002 2.9e-007 0.62
22 4.3e-004 1.1e-001 2.6e-002 9.95e-001 1.657656967e+002 1.667510510e+002 2.1e-007 0.66
23 2.2e-004 7.8e-002 1.4e-002 9.84e-001 1.661095497e+002 1.666201746e+002 1.1e-007 0.67
24 1.9e-004 6.8e-002 1.2e-002 1.00e+000 1.661627252e+002 1.666037151e+002 9.6e-008 0.70
25 1.7e-004 6.2e-002 1.1e-002 1.01e+000 1.661956930e+002 1.665923074e+002 8.7e-008 0.72
26 1.5e-004 5.7e-002 9.5e-003 1.01e+000 1.662237227e+002 1.665805618e+002 7.8e-008 0.75
27 1.4e-004 5.2e-002 8.5e-003 1.01e+000 1.662491045e+002 1.665701787e+002 7.0e-008 0.76
28 1.2e-004 4.7e-002 7.7e-003 1.01e+000 1.662718355e+002 1.665607383e+002 6.3e-008 0.80
29 1.1e-004 4.3e-002 6.9e-003 1.01e+000 1.662922359e+002 1.665521959e+002 5.7e-008 0.81
30 1.0e-004 4.0e-002 6.2e-003 1.01e+000 1.663105400e+002 1.665444614e+002 5.1e-008 0.84
31 9.0e-005 3.7e-002 5.6e-003 1.01e+000 1.663269650e+002 1.665374598e+002 4.6e-008 0.86
32 8.1e-005 3.4e-002 5.0e-003 1.01e+000 1.663417043e+002 1.665311218e+002 4.2e-008 0.89
33 7.3e-005 3.1e-002 4.5e-003 1.00e+000 1.663549315e+002 1.665253848e+002 3.7e-008 0.91
34 6.6e-005 2.9e-002 4.1e-003 1.00e+000 1.663668024e+002 1.665201924e+002 3.4e-008 0.92
35 5.9e-005 2.7e-002 3.7e-003 1.00e+000 1.663774570e+002 1.665154935e+002 3.0e-008 0.95
36 5.3e-005 2.5e-002 3.3e-003 1.00e+000 1.663870206e+002 1.665112420e+002 2.7e-008 0.97
37 4.8e-005 2.3e-002 3.0e-003 1.00e+000 1.663956059e+002 1.665073960e+002 2.5e-008 0.98
38 4.3e-005 2.2e-002 2.7e-003 1.00e+000 1.664033137e+002 1.665039175e+002 2.2e-008 1.01
39 3.9e-005 2.0e-002 2.4e-003 1.00e+000 1.664102344e+002 1.665007721e+002 2.0e-008 1.03
40 3.5e-005 1.9e-002 2.2e-003 1.00e+000 1.664164488e+002 1.664979283e+002 1.8e-008 1.04
41 3.1e-005 1.8e-002 1.9e-003 1.00e+000 1.664220297e+002 1.664953578e+002 1.6e-008 1.08
42 2.8e-005 1.7e-002 1.8e-003 1.00e+000 1.664270421e+002 1.664930347e+002 1.5e-008 1.09
43 2.5e-005 1.6e-002 1.6e-003 1.00e+000 1.664315443e+002 1.664909355e+002 1.3e-008 1.12
44 2.3e-005 1.5e-002 1.4e-003 1.00e+000 1.664355886e+002 1.664890390e+002 1.2e-008 1.14
45 2.1e-005 1.5e-002 1.3e-003 1.00e+000 1.664392218e+002 1.664873260e+002 1.1e-008 1.15
46 1.9e-005 1.4e-002 1.2e-003 1.00e+000 1.664424860e+002 1.664857788e+002 9.5e-009 1.19
47 1.7e-005 1.3e-002 1.0e-003 1.00e+000 1.664454189e+002 1.664843819e+002 8.6e-009 1.20
48 1.5e-005 1.3e-002 9.3e-004 1.00e+000 1.664480544e+002 1.664831206e+002 7.7e-009 1.23
49 1.3e-005 1.2e-002 8.4e-004 1.00e+000 1.664504228e+002 1.664819821e+002 6.9e-009 1.25
50 1.2e-005 1.2e-002 7.6e-004 1.00e+000 1.664525514e+002 1.664809546e+002 6.3e-009 1.28
51 1.1e-005 1.2e-002 6.8e-004 1.00e+000 1.664544647e+002 1.664800274e+002 5.6e-009 1.29
52 9.8e-006 1.1e-002 6.1e-004 1.00e+000 1.664561845e+002 1.664791908e+002 5.1e-009 1.31
53 8.9e-006 1.1e-002 5.5e-004 1.00e+000 1.664577305e+002 1.664784363e+002 4.6e-009 1.34
54 8.0e-006 1.1e-002 5.0e-004 1.00e+000 1.664591205e+002 1.664777557e+002 4.1e-009 1.36
55 7.2e-006 1.0e-002 4.5e-004 1.00e+000 1.664603702e+002 1.664771419e+002 3.7e-009 1.37
56 6.5e-006 1.0e-002 4.0e-004 1.00e+000 1.664614939e+002 1.664765885e+002 3.3e-009 1.40
57 5.8e-006 9.9e-003 3.6e-004 1.00e+000 1.664625044e+002 1.664760896e+002 3.0e-009 1.42
58 5.2e-006 9.7e-003 3.3e-004 1.00e+000 1.664634130e+002 1.664756398e+002 2.7e-009 1.45
59 4.7e-006 9.6e-003 2.9e-004 1.00e+000 1.664642302e+002 1.664752344e+002 2.4e-009 1.47
60 4.2e-006 9.4e-003 2.6e-004 1.00e+000 1.664649650e+002 1.664748690e+002 2.2e-009 1.48
61 3.8e-006 9.3e-003 2.4e-004 1.00e+000 1.664656259e+002 1.664745395e+002 2.0e-009 1.51
62 3.4e-006 9.1e-003 2.1e-004 1.00e+000 1.664662202e+002 1.664742425e+002 1.8e-009 1.53
63 3.1e-006 9.0e-003 1.9e-004 1.00e+000 1.664667547e+002 1.664739749e+002 1.6e-009 1.56
64 2.8e-006 8.9e-003 1.7e-004 1.00e+000 1.664672353e+002 1.664737336e+002 1.4e-009 1.58
65 2.5e-006 8.8e-003 1.6e-004 1.00e+000 1.664676677e+002 1.664735162e+002 1.3e-009 1.59
66 2.3e-006 8.7e-003 1.4e-004 1.00e+000 1.664680566e+002 1.664733204e+002 1.2e-009 1.62
67 2.0e-006 8.7e-003 1.3e-004 1.00e+000 1.664684065e+002 1.664731440e+002 1.0e-009 1.65
68 1.8e-006 8.6e-003 1.1e-004 1.00e+000 1.664687213e+002 1.664729850e+002 9.4e-010 1.67
69 1.6e-006 8.5e-003 1.0e-004 1.00e+000 1.664690045e+002 1.664728419e+002 8.5e-010 1.70
70 1.5e-006 8.4e-003 9.2e-005 1.00e+000 1.664692593e+002 1.664727130e+002 7.6e-010 1.72
71 1.3e-006 8.4e-003 8.3e-005 1.00e+000 1.664694885e+002 1.664725969e+002 6.9e-010 1.73
72 1.2e-006 8.3e-003 7.4e-005 1.00e+000 1.664696948e+002 1.664724923e+002 6.2e-010 1.76
73 1.1e-006 8.3e-003 6.7e-005 1.00e+000 1.664698804e+002 1.664723982e+002 5.6e-010 1.78
74 9.7e-007 8.2e-003 6.0e-005 1.00e+000 1.664700474e+002 1.664723134e+002 5.0e-010 1.81
75 8.7e-007 8.2e-003 5.4e-005 1.00e+000 1.664701976e+002 1.664722370e+002 4.5e-010 1.83
76 7.8e-007 8.1e-003 4.9e-005 1.00e+000 1.664703328e+002 1.664721683e+002 4.0e-010 1.84
77 7.1e-007 8.1e-003 4.4e-005 1.00e+000 1.664704544e+002 1.664721063e+002 3.6e-010 1.87
78 6.4e-007 8.1e-003 4.0e-005 1.00e+000 1.664705639e+002 1.664720506e+002 3.3e-010 1.89
79 5.7e-007 8.0e-003 3.6e-005 9.99e-001 1.664706623e+002 1.664720004e+002 3.0e-010 1.92
80 5.1e-007 8.0e-003 3.2e-005 1.00e+000 1.664707508e+002 1.664719551e+002 2.7e-010 1.93
81 4.6e-007 8.0e-003 2.9e-005 1.00e+000 1.664708305e+002 1.664719143e+002 2.4e-010 1.95
82 4.2e-007 7.9e-003 2.6e-005 9.99e-001 1.664709022e+002 1.664718776e+002 2.2e-010 1.98
83 3.8e-007 7.9e-003 2.3e-005 1.00e+000 1.664709667e+002 1.664718445e+002 1.9e-010 2.00
84 3.4e-007 7.9e-003 2.1e-005 1.00e+000 1.664710246e+002 1.664718147e+002 1.7e-010 2.03
85 3.0e-007 7.9e-003 1.9e-005 1.00e+000 1.664710768e+002 1.664717879e+002 1.6e-010 2.04
86 2.7e-007 7.9e-003 1.7e-005 1.00e+000 1.664711238e+002 1.664717637e+002 1.4e-010 2.08
87 2.5e-007 7.8e-003 1.5e-005 9.96e-001 1.664711660e+002 1.664717421e+002 1.3e-010 2.09
88 2.2e-007 7.8e-003 1.4e-005 1.00e+000 1.664712040e+002 1.664717225e+002 1.1e-010 2.11
89 2.0e-007 7.0e-003 1.2e-005 1.01e+000 1.664712383e+002 1.664717046e+002 1.0e-010 2.14
90 1.8e-007 6.3e-003 1.1e-005 9.97e-001 1.664712691e+002 1.664716888e+002 9.3e-011 2.15
91 1.6e-007 5.7e-003 1.0e-005 1.00e+000 1.664712969e+002 1.664716744e+002 8.3e-011 2.18
92 1.5e-007 5.1e-003 9.1e-006 9.97e-001 1.664713218e+002 1.664716616e+002 7.5e-011 2.20
93 1.3e-007 4.6e-003 8.2e-006 9.95e-001 1.664713442e+002 1.664716501e+002 6.8e-011 2.21
94 1.2e-007 4.2e-003 7.3e-006 9.89e-001 1.664713643e+002 1.664716398e+002 6.1e-011 2.25
95 1.1e-007 3.7e-003 6.6e-006 9.92e-001 1.664713824e+002 1.664716305e+002 5.5e-011 2.26
96 9.5e-008 3.4e-003 5.9e-006 1.00e+000 1.664713988e+002 1.664716220e+002 4.9e-011 2.29
97 8.6e-008 3.0e-003 5.3e-006 9.82e-001 1.664714134e+002 1.664716145e+002 4.4e-011 2.31
98 7.7e-008 2.7e-003 4.8e-006 9.92e-001 1.664714267e+002 1.664716077e+002 4.0e-011 2.32
99 7.0e-008 2.5e-003 4.3e-006 9.85e-001 1.664714385e+002 1.664716016e+002 3.6e-011 2.36
100 6.3e-008 2.2e-003 3.9e-006 9.61e-001 1.664714492e+002 1.664715962e+002 3.2e-011 2.37
101 5.6e-008 2.0e-003 3.5e-006 1.01e+000 1.664714590e+002 1.664715910e+002 2.9e-011 2.40
102 5.1e-008 1.8e-003 3.2e-006 1.03e+000 1.664714688e+002 1.664715858e+002 2.7e-011 2.42
103 4.6e-008 1.6e-003 2.8e-006 1.01e+000 1.664714767e+002 1.664715817e+002 2.4e-011 2.45
104 4.1e-008 1.4e-003 2.6e-006 1.03e+000 1.664714844e+002 1.664715775e+002 2.2e-011 2.46
105 3.7e-008 1.3e-003 2.3e-006 1.03e+000 1.664714914e+002 1.664715738e+002 2.0e-011 2.50
106 3.3e-008 1.2e-003 2.1e-006 9.67e-001 1.664714968e+002 1.664715711e+002 1.8e-011 2.51
107 3.0e-008 1.1e-003 1.9e-006 9.73e-001 1.664715017e+002 1.664715686e+002 1.6e-011 2.54
108 2.7e-008 9.5e-004 1.7e-006 9.89e-001 1.664715061e+002 1.664715664e+002 1.5e-011 2.56
109 2.4e-008 8.6e-004 1.5e-006 9.63e-001 1.664715100e+002 1.664715644e+002 1.3e-011 2.57
110 2.2e-008 7.7e-004 1.4e-006 9.63e-001 1.664715136e+002 1.664715626e+002 1.2e-011 2.61
111 2.0e-008 6.9e-004 1.2e-006 7.86e-001 1.664715167e+002 1.664715610e+002 1.1e-011 2.62
112 1.8e-008 6.4e-004 1.1e-006 9.23e-001 1.664715191e+002 1.664715599e+002 9.8e-012 2.65
113 1.7e-008 5.7e-004 1.0e-006 9.53e-001 1.664715217e+002 1.664715585e+002 8.8e-012 2.67
114 1.5e-008 5.2e-004 9.1e-007 9.71e-001 1.664715241e+002 1.664715573e+002 7.9e-012 2.68
115 1.3e-008 4.6e-004 8.2e-007 9.49e-001 1.664715263e+002 1.664715562e+002 7.1e-012 2.71
116 1.2e-008 4.2e-004 7.4e-007 9.37e-001 1.664715282e+002 1.664715552e+002 6.4e-012 2.75
117 1.1e-008 3.8e-004 6.6e-007 7.55e-001 1.664715299e+002 1.664715544e+002 5.8e-012 2.76
118 1.0e-008 3.4e-004 6.0e-007 6.77e-001 1.664715314e+002 1.664715538e+002 5.2e-012 2.79
119 9.4e-009 3.0e-004 5.4e-007 8.35e-001 1.664715328e+002 1.664715531e+002 4.7e-012 2.82
120 8.4e-009 2.7e-004 4.8e-007 1.36e+000 1.664715341e+002 1.664715523e+002 4.2e-012 2.86
121 9.0e-009 2.5e-004 4.4e-007 1.61e+000 1.664715353e+002 1.664715514e+002 3.8e-012 2.89
122 8.6e-009 2.4e-004 4.3e-007 1.08e+000 1.664715355e+002 1.664715512e+002 3.8e-012 2.92
123 8.7e-009 2.2e-004 3.9e-007 7.14e-001 1.664715365e+002 1.664715509e+002 3.4e-012 2.95
124 6.8e-009 2.0e-004 3.5e-007 7.34e-001 1.664715374e+002 1.664715505e+002 3.1e-012 2.96
125 5.9e-009 1.8e-004 3.1e-007 1.75e+000 1.664715383e+002 1.664715498e+002 2.8e-012 3.00
126 5.4e-009 1.6e-004 2.9e-007 8.85e-001 1.664715389e+002 1.664715496e+002 2.5e-012 3.03
127 5.3e-009 1.5e-004 2.6e-007 9.02e-001 1.664715395e+002 1.664715492e+002 2.3e-012 3.06
128 4.8e-009 1.3e-004 2.3e-007 2.06e+000 1.664715402e+002 1.664715487e+002 2.0e-012 3.09
129 5.0e-009 1.3e-004 2.3e-007 1.18e+000 1.664715404e+002 1.664715485e+002 2.0e-012 3.12
130 5.4e-009 1.2e-004 2.1e-007 1.66e+000 1.664715410e+002 1.664715481e+002 1.8e-012 3.15
131 5.7e-009 1.1e-004 1.9e-007 8.10e-001 1.664715414e+002 1.664715479e+002 1.6e-012 3.17
132 5.8e-009 9.8e-005 1.7e-007 1.15e+000 1.664715419e+002 1.664715476e+002 1.6e-012 3.20
133 5.5e-009 8.8e-005 1.6e-007 1.04e+000 1.664715424e+002 1.664715474e+002 1.5e-012 3.21
134 5.1e-009 8.0e-005 1.4e-007 8.20e-001 1.664715427e+002 1.664715472e+002 1.3e-012 3.25
135 5.8e-009 7.4e-005 1.3e-007 1.11e+000 1.664715430e+002 1.664715470e+002 1.3e-012 3.26
136 4.9e-009 6.7e-005 1.2e-007 6.28e-001 1.664715433e+002 1.664715469e+002 1.2e-012 3.29
137 4.5e-009 6.0e-005 1.1e-007 7.56e-001 1.664715435e+002 1.664715468e+002 1.0e-012 3.31
138 3.9e-009 5.4e-005 9.6e-008 1.34e+000 1.664715438e+002 1.664715467e+002 9.4e-013 3.34
Interior-point optimizer terminated. Time: 3.34.
Optimizer terminated. Time: 3.35
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6647154376e+002 Viol. con: 9e-008 var: 0e+000
Dual. obj: 1.6647154670e+002 Viol. con: 0e+000 var: 3e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.37 seconds.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 943
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 943
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.03
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 782
Optimizer - Cones : 0
Optimizer - Scalar variables : 3473 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.66e+004 after factor : 1.51e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.289724537e+005 2.000000000e+000 1.0e+000 0.09
1 1.1e+003 1.4e+003 6.1e+004 -9.71e-001 -1.268051742e+005 3.546381618e+000 4.8e-001 0.13
2 4.3e+002 5.5e+002 2.4e+004 -9.36e-001 -1.205843477e+005 1.011295749e+001 1.9e-001 0.14
3 2.9e+002 3.7e+002 1.6e+004 -8.39e-001 -1.158859852e+005 6.381737305e+001 1.2e-001 0.17
4 2.9e+002 3.7e+002 1.6e+004 -7.60e-001 -1.132324524e+005 2.310670792e+003 1.2e-001 0.19
5 7.6e+001 9.8e+001 4.2e+003 -7.53e-001 -7.520353550e+004 9.741759421e+003 3.3e-002 0.20
6 3.0e+001 3.9e+001 1.7e+003 -2.00e-001 -4.062419216e+004 1.044858436e+004 1.3e-002 0.23
7 1.8e+001 2.3e+001 1.0e+003 3.94e-001 -2.716161989e+004 6.780339567e+003 8.0e-003 0.25
8 1.0e+001 1.3e+001 5.5e+002 6.31e-001 -1.589994898e+004 3.986344000e+003 4.3e-003 0.27
9 4.0e+000 5.1e+000 2.2e+002 8.10e-001 -6.490391299e+003 1.941671666e+003 1.8e-003 0.30
10 2.2e+000 2.8e+000 1.2e+002 9.40e-001 -3.367283012e+003 1.246435543e+003 9.5e-004 0.33
11 1.0e+000 1.3e+000 5.7e+001 9.79e-001 -1.477029827e+003 7.186303686e+002 4.5e-004 0.36
12 8.5e-001 1.1e+000 4.7e+001 9.77e-001 -1.234625417e+003 6.232912080e+002 3.8e-004 0.39
13 5.3e-001 6.7e-001 2.9e+001 9.72e-001 -7.199598916e+002 4.435751323e+002 2.3e-004 0.42
14 3.4e-001 4.4e-001 1.9e+001 1.00e+000 -3.942532656e+002 3.616209214e+002 1.5e-004 0.45
15 1.1e-001 1.7e-001 6.6e+000 9.95e-001 -3.829532390e+001 2.190197903e+002 5.3e-005 0.47
16 8.1e-002 1.2e-001 4.7e+000 1.02e+000 2.196702562e+001 2.036208486e+002 3.7e-005 0.50
17 5.4e-002 8.2e-002 3.1e+000 1.02e+000 7.357708459e+001 1.932760492e+002 2.5e-005 0.52
18 1.4e-002 1.2e-001 8.2e-001 1.02e+000 1.427248821e+002 1.741566885e+002 6.6e-006 0.55
19 1.0e-002 8.9e-002 6.0e-001 1.01e+000 1.488048505e+002 1.717995222e+002 4.8e-006 0.58
20 2.7e-003 1.5e-001 1.6e-001 1.01e+000 1.619711813e+002 1.681583938e+002 1.3e-006 0.59
21 1.7e-003 1.0e-001 1.0e-001 1.00e+000 1.636002257e+002 1.675293365e+002 8.3e-007 0.62
22 6.4e-004 9.7e-002 3.9e-002 1.00e+000 1.653798879e+002 1.668723208e+002 3.2e-007 0.64
23 2.9e-004 8.3e-002 1.8e-002 1.01e+000 1.659664129e+002 1.666415123e+002 1.5e-007 0.67
24 1.2e-004 8.5e-002 7.5e-003 1.01e+000 1.662462929e+002 1.665282717e+002 6.1e-008 0.69
25 1.1e-004 7.7e-002 6.7e-003 1.01e+000 1.662683277e+002 1.665221369e+002 5.5e-008 0.72
26 9.6e-005 7.0e-002 6.0e-003 1.01e+000 1.662858940e+002 1.665142337e+002 5.0e-008 0.73
27 8.7e-005 6.4e-002 5.4e-003 1.01e+000 1.663019394e+002 1.665073832e+002 4.5e-008 0.77
28 7.8e-005 5.8e-002 4.9e-003 1.01e+000 1.663162913e+002 1.665011378e+002 4.0e-008 0.78
29 7.0e-005 5.3e-002 4.4e-003 1.01e+000 1.663291759e+002 1.664954946e+002 3.6e-008 0.81
30 6.3e-005 4.9e-002 4.0e-003 1.01e+000 1.663407367e+002 1.664903881e+002 3.3e-008 0.83
31 5.7e-005 4.5e-002 3.6e-003 1.01e+000 1.663511120e+002 1.664857695e+002 2.9e-008 0.86
32 5.1e-005 4.1e-002 3.2e-003 1.01e+000 1.663604244e+002 1.664815926e+002 2.6e-008 0.87
33 4.6e-005 3.8e-002 2.9e-003 1.01e+000 1.663687839e+002 1.664778161e+002 2.4e-008 0.91
34 4.1e-005 3.5e-002 2.6e-003 1.00e+000 1.663762889e+002 1.664744023e+002 2.1e-008 0.92
35 3.7e-005 3.2e-002 2.3e-003 1.00e+000 1.663830275e+002 1.664713171e+002 1.9e-008 0.95
36 3.4e-005 3.0e-002 2.1e-003 1.00e+000 1.663890788e+002 1.664685293e+002 1.7e-008 0.98
37 3.0e-005 2.8e-002 1.9e-003 1.00e+000 1.663945135e+002 1.664660107e+002 1.6e-008 1.00
38 2.7e-005 2.6e-002 1.7e-003 1.00e+000 1.663993948e+002 1.664637357e+002 1.4e-008 1.03
39 2.4e-005 2.4e-002 1.5e-003 1.00e+000 1.664037795e+002 1.664616811e+002 1.3e-008 1.04
40 2.2e-005 2.2e-002 1.4e-003 1.00e+000 1.664077185e+002 1.664598256e+002 1.1e-008 1.08
41 2.0e-005 2.1e-002 1.2e-003 1.00e+000 1.664112572e+002 1.664581503e+002 1.0e-008 1.09
42 1.8e-005 1.9e-002 1.1e-003 1.00e+000 1.664144367e+002 1.664566378e+002 9.2e-009 1.12
43 1.6e-005 1.8e-002 1.0e-003 1.00e+000 1.664172936e+002 1.664552724e+002 8.3e-009 1.14
44 1.4e-005 1.7e-002 9.1e-004 1.00e+000 1.664198608e+002 1.664540401e+002 7.5e-009 1.17
45 1.3e-005 1.6e-002 8.2e-004 1.00e+000 1.664221679e+002 1.664529279e+002 6.7e-009 1.19
46 1.2e-005 1.5e-002 7.4e-004 1.00e+000 1.664242413e+002 1.664519243e+002 6.1e-009 1.22
47 1.1e-005 1.5e-002 6.6e-004 1.00e+000 1.664261050e+002 1.664510188e+002 5.5e-009 1.23
48 9.5e-006 1.4e-002 6.0e-004 1.00e+000 1.664277801e+002 1.664502019e+002 4.9e-009 1.25
49 8.5e-006 1.3e-002 5.4e-004 1.00e+000 1.664292859e+002 1.664494650e+002 4.4e-009 1.28
50 7.7e-006 1.3e-002 4.8e-004 1.00e+000 1.664306397e+002 1.664488005e+002 4.0e-009 1.29
51 6.9e-006 1.2e-002 4.3e-004 1.00e+000 1.664318567e+002 1.664482012e+002 3.6e-009 1.33
52 6.2e-006 1.2e-002 3.9e-004 1.00e+000 1.664329510e+002 1.664476608e+002 3.2e-009 1.34
53 5.6e-006 1.2e-002 3.5e-004 1.00e+000 1.664339349e+002 1.664471735e+002 2.9e-009 1.36
54 5.0e-006 1.1e-002 3.2e-004 1.00e+000 1.664348196e+002 1.664467343e+002 2.6e-009 1.39
55 4.5e-006 1.1e-002 2.8e-004 1.00e+000 1.664356152e+002 1.664463383e+002 2.3e-009 1.40
56 4.1e-006 1.1e-002 2.6e-004 1.00e+000 1.664363306e+002 1.664459813e+002 2.1e-009 1.44
57 3.7e-006 1.0e-002 2.3e-004 1.00e+000 1.664369739e+002 1.664456595e+002 1.9e-009 1.45
58 3.3e-006 1.0e-002 2.1e-004 1.00e+000 1.664375524e+002 1.664453694e+002 1.7e-009 1.47
59 3.0e-006 9.8e-003 1.9e-004 1.00e+000 1.664380726e+002 1.664451080e+002 1.5e-009 1.50
60 2.7e-006 9.6e-003 1.7e-004 1.00e+000 1.664385405e+002 1.664448724e+002 1.4e-009 1.51
61 2.4e-006 9.4e-003 1.5e-004 1.00e+000 1.664389614e+002 1.664446600e+002 1.2e-009 1.53
62 2.2e-006 9.3e-003 1.4e-004 1.00e+000 1.664393400e+002 1.664444688e+002 1.1e-009 1.56
63 1.9e-006 9.1e-003 1.2e-004 1.00e+000 1.664396806e+002 1.664442965e+002 1.0e-009 1.58
64 1.8e-006 9.0e-003 1.1e-004 1.00e+000 1.664399870e+002 1.664441413e+002 9.1e-010 1.61
65 1.6e-006 8.9e-003 9.9e-005 1.00e+000 1.664402627e+002 1.664440015e+002 8.2e-010 1.62
66 1.4e-006 8.8e-003 8.9e-005 1.00e+000 1.664405107e+002 1.664438757e+002 7.4e-010 1.64
67 1.3e-006 8.6e-003 8.1e-005 1.00e+000 1.664407338e+002 1.664437624e+002 6.6e-010 1.67
68 1.2e-006 8.6e-003 7.2e-005 1.00e+000 1.664409346e+002 1.664436603e+002 6.0e-010 1.69
69 1.0e-006 8.5e-003 6.5e-005 1.00e+000 1.664411152e+002 1.664435683e+002 5.4e-010 1.72
70 9.3e-007 8.4e-003 5.9e-005 1.00e+000 1.664412777e+002 1.664434855e+002 4.8e-010 1.73
71 8.4e-007 8.3e-003 5.3e-005 1.00e+000 1.664414239e+002 1.664434109e+002 4.4e-010 1.75
72 7.6e-007 8.3e-003 4.8e-005 1.00e+000 1.664415554e+002 1.664433438e+002 3.9e-010 1.78
73 6.8e-007 8.2e-003 4.3e-005 1.00e+000 1.664416738e+002 1.664432833e+002 3.5e-010 1.79
74 6.1e-007 8.1e-003 3.9e-005 1.00e+000 1.664417802e+002 1.664432288e+002 3.2e-010 1.81
75 5.5e-007 8.1e-003 3.5e-005 1.00e+000 1.664418760e+002 1.664431797e+002 2.9e-010 1.84
76 5.0e-007 8.0e-003 3.1e-005 1.00e+000 1.664419621e+002 1.664431354e+002 2.6e-010 1.86
77 4.5e-007 8.0e-003 2.8e-005 9.99e-001 1.664420396e+002 1.664430956e+002 2.3e-010 1.89
78 4.0e-007 8.0e-003 2.5e-005 9.99e-001 1.664421093e+002 1.664430598e+002 2.1e-010 1.90
79 3.6e-007 7.9e-003 2.3e-005 1.00e+000 1.664421720e+002 1.664430275e+002 1.9e-010 1.92
80 3.3e-007 7.9e-003 2.0e-005 9.99e-001 1.664422284e+002 1.664429984e+002 1.7e-010 1.95
81 2.9e-007 7.8e-003 1.8e-005 1.00e+000 1.664422791e+002 1.664429721e+002 1.5e-010 1.97
82 2.6e-007 7.8e-003 1.7e-005 1.00e+000 1.664423248e+002 1.664429485e+002 1.4e-010 1.98
83 2.4e-007 7.8e-003 1.5e-005 9.97e-001 1.664423659e+002 1.664429273e+002 1.2e-010 2.01
84 2.1e-007 7.8e-003 1.3e-005 1.00e+000 1.664424029e+002 1.664429081e+002 1.1e-010 2.03
85 1.9e-007 7.7e-003 1.2e-005 9.99e-001 1.664424362e+002 1.664428909e+002 1.0e-010 2.06
86 1.7e-007 7.7e-003 1.1e-005 9.99e-001 1.664424661e+002 1.664428754e+002 9.0e-011 2.08
87 1.6e-007 7.7e-003 9.8e-006 9.99e-001 1.664424931e+002 1.664428615e+002 8.1e-011 2.11
88 1.4e-007 7.7e-003 8.8e-006 1.00e+000 1.664425174e+002 1.664428489e+002 7.3e-011 2.12
89 1.3e-007 7.7e-003 7.9e-006 1.00e+000 1.664425392e+002 1.664428376e+002 6.5e-011 2.15
90 1.1e-007 6.9e-003 7.1e-006 1.00e+000 1.664425590e+002 1.664428273e+002 5.9e-011 2.17
91 1.0e-007 6.2e-003 6.4e-006 1.00e+000 1.664425767e+002 1.664428181e+002 5.3e-011 2.20
92 9.2e-008 5.6e-003 5.8e-006 1.00e+000 1.664425926e+002 1.664428098e+002 4.8e-011 2.21
93 8.3e-008 5.0e-003 5.2e-006 9.99e-001 1.664426069e+002 1.664428024e+002 4.3e-011 2.23
94 7.4e-008 4.5e-003 4.7e-006 9.86e-001 1.664426198e+002 1.664427959e+002 3.9e-011 2.26
95 6.7e-008 4.1e-003 4.2e-006 9.98e-001 1.664426314e+002 1.664427899e+002 3.5e-011 2.28
96 6.0e-008 3.7e-003 3.8e-006 9.95e-001 1.664426418e+002 1.664427845e+002 3.1e-011 2.29
97 5.4e-008 3.3e-003 3.4e-006 9.90e-001 1.664426512e+002 1.664427797e+002 2.8e-011 2.33
98 4.9e-008 3.0e-003 3.1e-006 1.01e+000 1.664426598e+002 1.664427752e+002 2.5e-011 2.34
99 4.4e-008 2.7e-003 2.8e-006 1.01e+000 1.664426676e+002 1.664427711e+002 2.3e-011 2.37
100 4.0e-008 2.4e-003 2.5e-006 1.00e+000 1.664426745e+002 1.664427675e+002 2.1e-011 2.39
101 3.6e-008 2.2e-003 2.2e-006 9.95e-001 1.664426806e+002 1.664427644e+002 1.9e-011 2.40
102 3.2e-008 1.9e-003 2.0e-006 1.03e+000 1.664426869e+002 1.664427610e+002 1.7e-011 2.43
103 2.9e-008 1.8e-003 1.8e-006 1.02e+000 1.664426922e+002 1.664427582e+002 1.5e-011 2.45
104 2.6e-008 1.6e-003 1.6e-006 1.03e+000 1.664426970e+002 1.664427557e+002 1.4e-011 2.46
105 2.3e-008 1.4e-003 1.5e-006 1.00e+000 1.664427010e+002 1.664427536e+002 1.3e-011 2.50
106 2.1e-008 1.3e-003 1.3e-006 1.00e+000 1.664427044e+002 1.664427519e+002 1.1e-011 2.51
107 1.9e-008 1.1e-003 1.2e-006 1.04e+000 1.664427081e+002 1.664427499e+002 1.0e-011 2.54
108 1.7e-008 1.0e-003 1.1e-006 1.03e+000 1.664427113e+002 1.664427482e+002 9.5e-012 2.57
109 1.5e-008 9.3e-004 9.6e-007 1.03e+000 1.664427140e+002 1.664427468e+002 8.7e-012 2.61
110 1.4e-008 8.4e-004 8.7e-007 9.68e-001 1.664427162e+002 1.664427458e+002 7.8e-012 2.64
111 1.3e-008 7.5e-004 7.8e-007 9.41e-001 1.664427181e+002 1.664427448e+002 7.0e-012 2.65
112 1.1e-008 6.8e-004 7.0e-007 9.58e-001 1.664427199e+002 1.664427439e+002 6.3e-012 2.68
113 1.0e-008 6.1e-004 6.3e-007 1.01e+000 1.664427215e+002 1.664427431e+002 5.7e-012 2.70
114 9.2e-009 5.5e-004 5.7e-007 1.10e+000 1.664427236e+002 1.664427419e+002 5.4e-012 2.73
115 8.3e-009 4.9e-004 5.1e-007 8.76e-001 1.664427248e+002 1.664427414e+002 4.9e-012 2.75
116 7.6e-009 4.5e-004 4.6e-007 1.02e+000 1.664427260e+002 1.664427407e+002 4.4e-012 2.78
117 6.8e-009 4.0e-004 4.2e-007 9.22e-001 1.664427270e+002 1.664427403e+002 4.0e-012 2.79
118 6.4e-009 3.6e-004 3.7e-007 1.19e+000 1.664427286e+002 1.664427393e+002 3.9e-012 2.81
119 5.8e-009 3.2e-004 3.4e-007 1.35e+000 1.664427293e+002 1.664427389e+002 3.5e-012 2.84
120 5.4e-009 2.9e-004 3.0e-007 1.22e+000 1.664427300e+002 1.664427385e+002 3.2e-012 2.87
121 5.0e-009 2.6e-004 2.7e-007 9.74e-001 1.664427306e+002 1.664427382e+002 2.9e-012 2.89
122 9.2e-009 1.7e-005 1.8e-008 8.10e-001 1.664427358e+002 1.664427364e+002 4.8e-013 2.92
Interior-point optimizer terminated. Time: 2.92.
Optimizer terminated. Time: 2.93
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6644273579e+002 Viol. con: 2e-007 var: 0e+000
Dual. obj: 1.6644273636e+002 Viol. con: 0e+000 var: 1e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 2.96 seconds.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Computer
Platform : Windows/64-X86
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Total number of eliminations : 933
Eliminator terminated.
Eliminator started.
Total number of eliminations : 943
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Eliminator - elim's : 943
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.05
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 782
Optimizer - Cones : 0
Optimizer - Scalar variables : 3473 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.66e+004 after factor : 1.51e+005
Factor - dense dim. : 0 flops : 0.00e+000
Factor - GP saved nzs : 0 GP saved flops : 0.00e+000
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.289707613e+005 2.000000000e+000 1.0e+000 0.11
1 1.1e+003 1.4e+003 6.1e+004 -9.71e-001 -1.268030513e+005 3.546209418e+000 4.8e-001 0.13
2 4.3e+002 5.5e+002 2.4e+004 -9.36e-001 -1.205599278e+005 1.012897512e+001 1.9e-001 0.16
3 2.9e+002 3.7e+002 1.6e+004 -8.39e-001 -1.158563862e+005 6.411214872e+001 1.2e-001 0.19
4 2.9e+002 3.7e+002 1.6e+004 -7.59e-001 -1.132048143e+005 2.309053115e+003 1.2e-001 0.22
5 7.6e+001 9.7e+001 4.2e+003 -7.52e-001 -7.500767682e+004 9.764403135e+003 3.3e-002 0.25
6 3.0e+001 3.9e+001 1.7e+003 -1.97e-001 -4.050273823e+004 1.040588654e+004 1.3e-002 0.27
7 1.8e+001 2.3e+001 1.0e+003 3.96e-001 -2.718343127e+004 6.780419238e+003 8.0e-003 0.30
8 9.9e+000 1.3e+001 5.4e+002 6.31e-001 -1.576038696e+004 3.959521039e+003 4.3e-003 0.31
9 3.8e+000 4.8e+000 2.1e+002 8.11e-001 -6.114482545e+003 1.867485728e+003 1.7e-003 0.33
10 2.1e+000 2.7e+000 1.2e+002 9.45e-001 -3.234364005e+003 1.235237697e+003 9.2e-004 0.36
11 8.6e-001 1.1e+000 4.8e+001 9.80e-001 -1.238459359e+003 6.285171486e+002 3.8e-004 0.37
12 8.3e-001 1.1e+000 4.7e+001 9.54e-001 -1.219191216e+003 6.045344960e+002 3.7e-004 0.39
13 5.2e-001 6.7e-001 2.9e+001 9.69e-001 -7.142591720e+002 4.315291060e+002 2.3e-004 0.41
14 3.5e-001 4.7e-001 2.0e+001 1.00e+000 -4.062046300e+002 3.672928208e+002 1.6e-004 0.44
15 1.1e-001 1.8e-001 6.3e+000 9.94e-001 -3.264496078e+001 2.169163474e+002 5.1e-005 0.45
16 8.2e-002 1.4e-001 4.7e+000 1.02e+000 2.081898851e+001 2.041482708e+002 3.8e-005 0.47
17 4.8e-002 8.3e-002 2.8e+000 1.02e+000 8.350891290e+001 1.906645996e+002 2.2e-005 0.50
18 1.2e-002 1.7e-001 7.1e-001 1.02e+000 1.460514641e+002 1.734495950e+002 5.7e-006 0.53
19 4.2e-003 1.8e-001 2.5e-001 1.01e+000 1.593700151e+002 1.688100594e+002 2.0e-006 0.55
20 1.9e-003 1.0e-001 1.1e-001 1.01e+000 1.632299939e+002 1.675477185e+002 9.2e-007 0.56
21 8.1e-004 8.8e-002 4.9e-002 1.01e+000 1.650649248e+002 1.669290014e+002 4.0e-007 0.59
22 3.1e-004 9.2e-002 1.9e-002 1.01e+000 1.659095680e+002 1.666379501e+002 1.6e-007 0.61
23 1.2e-004 8.9e-002 7.8e-003 1.01e+000 1.662187257e+002 1.665117812e+002 6.5e-008 0.62
24 1.1e-004 8.1e-002 7.0e-003 1.01e+000 1.662416401e+002 1.665054224e+002 5.8e-008 0.66
25 1.0e-004 7.4e-002 6.3e-003 1.01e+000 1.662600110e+002 1.664973106e+002 5.2e-008 0.67
26 9.0e-005 6.7e-002 5.7e-003 1.01e+000 1.662768003e+002 1.664902938e+002 4.7e-008 0.69
27 8.1e-005 6.1e-002 5.1e-003 1.01e+000 1.662918181e+002 1.664838972e+002 4.2e-008 0.72
28 7.3e-005 5.6e-002 4.6e-003 1.01e+000 1.663053003e+002 1.664781181e+002 3.8e-008 0.73
29 6.6e-005 5.1e-002 4.1e-003 1.01e+000 1.663173959e+002 1.664728879e+002 3.4e-008 0.76
30 5.9e-005 4.7e-002 3.7e-003 1.01e+000 1.663282504e+002 1.664681570e+002 3.1e-008 0.78
31 5.3e-005 4.3e-002 3.4e-003 1.01e+000 1.663379919e+002 1.664638781e+002 2.8e-008 0.81
32 4.8e-005 4.0e-002 3.0e-003 1.01e+000 1.663467357e+002 1.664600089e+002 2.5e-008 0.83
33 4.3e-005 3.6e-002 2.7e-003 1.01e+000 1.663545849e+002 1.664565109e+002 2.3e-008 0.86
34 3.9e-005 3.4e-002 2.4e-003 1.01e+000 1.663616320e+002 1.664533492e+002 2.0e-008 0.87
35 3.5e-005 3.1e-002 2.2e-003 1.00e+000 1.663679599e+002 1.664504921e+002 1.8e-008 0.91
36 3.2e-005 2.9e-002 2.0e-003 1.00e+000 1.663736425e+002 1.664479107e+002 1.6e-008 0.92
37 2.8e-005 2.7e-002 1.8e-003 1.00e+000 1.663787461e+002 1.664455789e+002 1.5e-008 0.94
38 2.6e-005 2.5e-002 1.6e-003 1.00e+000 1.663833304e+002 1.664434728e+002 1.3e-008 0.97
39 2.3e-005 2.3e-002 1.4e-003 1.00e+000 1.663874484e+002 1.664415709e+002 1.2e-008 0.98
40 2.1e-005 2.1e-002 1.3e-003 1.00e+000 1.663911480e+002 1.664398536e+002 1.1e-008 1.00
41 1.9e-005 2.0e-002 1.2e-003 1.00e+000 1.663944719e+002 1.664383033e+002 9.7e-009 1.03
42 1.7e-005 1.9e-002 1.1e-003 1.00e+000 1.663974586e+002 1.664369038e+002 8.8e-009 1.04
43 1.5e-005 1.8e-002 9.5e-004 1.00e+000 1.664001424e+002 1.664356407e+002 7.9e-009 1.08
44 1.4e-005 1.7e-002 8.5e-004 1.00e+000 1.664025542e+002 1.664345008e+002 7.1e-009 1.09
45 1.2e-005 1.6e-002 7.7e-004 1.00e+000 1.664047219e+002 1.664334722e+002 6.4e-009 1.11
46 1.1e-005 1.5e-002 6.9e-004 1.00e+000 1.664066702e+002 1.664325443e+002 5.7e-009 1.14
47 9.9e-006 1.4e-002 6.2e-004 1.00e+000 1.664084216e+002 1.664317072e+002 5.2e-009 1.15
48 8.9e-006 1.4e-002 5.6e-004 1.00e+000 1.664099959e+002 1.664309522e+002 4.7e-009 1.19
49 8.0e-006 1.3e-002 5.0e-004 1.00e+000 1.664114113e+002 1.664302714e+002 4.2e-009 1.22
50 7.2e-006 1.3e-002 4.5e-004 1.00e+000 1.664126838e+002 1.664296574e+002 3.8e-009 1.25
51 6.5e-006 1.2e-002 4.1e-004 1.00e+000 1.664138279e+002 1.664291038e+002 3.4e-009 1.28
52 5.8e-006 1.2e-002 3.7e-004 1.00e+000 1.664148567e+002 1.664286047e+002 3.1e-009 1.31
53 5.3e-006 1.1e-002 3.3e-004 1.00e+000 1.664157818e+002 1.664281548e+002 2.7e-009 1.33
54 4.7e-006 1.1e-002 3.0e-004 1.00e+000 1.664166137e+002 1.664277492e+002 2.5e-009 1.36
55 4.3e-006 1.1e-002 2.7e-004 1.00e+000 1.664173618e+002 1.664273836e+002 2.2e-009 1.37
56 3.8e-006 1.0e-002 2.4e-004 1.00e+000 1.664180345e+002 1.664270541e+002 2.0e-009 1.39
57 3.5e-006 1.0e-002 2.2e-004 1.00e+000 1.664186394e+002 1.664267570e+002 1.8e-009 1.42
58 3.1e-006 1.0e-002 2.0e-004 1.00e+000 1.664191834e+002 1.664264892e+002 1.6e-009 1.44
59 2.8e-006 9.8e-003 1.8e-004 1.00e+000 1.664196727e+002 1.664262479e+002 1.5e-009 1.47
60 2.5e-006 9.6e-003 1.6e-004 1.00e+000 1.664201128e+002 1.664260304e+002 1.3e-009 1.50
61 2.3e-006 9.4e-003 1.4e-004 1.00e+000 1.664205087e+002 1.664258345e+002 1.2e-009 1.51
62 2.0e-006 9.3e-003 1.3e-004 1.00e+000 1.664208648e+002 1.664256581e+002 1.1e-009 1.54
63 1.8e-006 9.1e-003 1.2e-004 1.00e+000 1.664211852e+002 1.664254991e+002 9.6e-010 1.56
64 1.7e-006 9.0e-003 1.0e-004 1.00e+000 1.664214734e+002 1.664253559e+002 8.6e-010 1.59
65 1.5e-006 8.9e-003 9.3e-005 1.00e+000 1.664217327e+002 1.664252270e+002 7.8e-010 1.62
66 1.3e-006 8.8e-003 8.4e-005 1.00e+000 1.664219660e+002 1.664251108e+002 7.0e-010 1.65
67 1.2e-006 8.7e-003 7.6e-005 1.00e+000 1.664221759e+002 1.664250062e+002 6.3e-010 1.67
68 1.1e-006 8.6e-003 6.8e-005 1.00e+000 1.664223647e+002 1.664249120e+002 5.7e-010 1.70
69 9.7e-007 8.5e-003 6.1e-005 1.00e+000 1.664225346e+002 1.664248272e+002 5.1e-010 1.72
70 8.8e-007 8.4e-003 5.5e-005 1.00e+000 1.664226874e+002 1.664247508e+002 4.6e-010 1.75
71 7.9e-007 8.4e-003 5.0e-005 1.00e+000 1.664228249e+002 1.664246819e+002 4.1e-010 1.76
72 7.1e-007 8.3e-003 4.5e-005 1.00e+000 1.664229486e+002 1.664246199e+002 3.7e-010 1.79
73 6.4e-007 8.2e-003 4.0e-005 1.00e+000 1.664230599e+002 1.664245641e+002 3.3e-010 1.83
74 5.8e-007 8.2e-003 3.6e-005 1.00e+000 1.664231600e+002 1.664245138e+002 3.0e-010 1.84
75 5.2e-007 8.1e-003 3.3e-005 1.00e+000 1.664232500e+002 1.664244684e+002 2.7e-010 1.87
76 4.7e-007 8.1e-003 2.9e-005 1.00e+000 1.664233310e+002 1.664244276e+002 2.4e-010 1.89
77 4.2e-007 8.0e-003 2.6e-005 1.00e+000 1.664234039e+002 1.664243908e+002 2.2e-010 1.92
78 3.8e-007 8.0e-003 2.4e-005 1.00e+000 1.664234694e+002 1.664243576e+002 2.0e-010 1.95
79 3.4e-007 8.0e-003 2.1e-005 1.00e+000 1.664235283e+002 1.664243277e+002 1.8e-010 1.97
80 3.1e-007 7.9e-003 1.9e-005 1.00e+000 1.664235814e+002 1.664243009e+002 1.6e-010 2.00
81 2.8e-007 7.9e-003 1.7e-005 1.00e+000 1.664236291e+002 1.664242766e+002 1.4e-010 2.01
82 2.5e-007 7.9e-003 1.6e-005 1.00e+000 1.664236720e+002 1.664242548e+002 1.3e-010 2.04
83 2.2e-007 7.8e-003 1.4e-005 1.00e+000 1.664237107e+002 1.664242351e+002 1.2e-010 2.06
84 2.0e-007 7.8e-003 1.3e-005 1.00e+000 1.664237454e+002 1.664242175e+002 1.1e-010 2.09
85 1.8e-007 7.8e-003 1.1e-005 1.00e+000 1.664237767e+002 1.664242015e+002 9.5e-011 2.11
86 1.6e-007 7.8e-003 1.0e-005 9.97e-001 1.664238048e+002 1.664241872e+002 8.5e-011 2.12
87 1.5e-007 7.7e-003 9.2e-006 1.00e+000 1.664238302e+002 1.664241743e+002 7.7e-011 2.15
88 1.3e-007 7.7e-003 8.3e-006 1.00e+000 1.664238530e+002 1.664241627e+002 6.9e-011 2.17
89 1.2e-007 7.7e-003 7.5e-006 1.00e+000 1.664238735e+002 1.664241522e+002 6.2e-011 2.18
90 1.1e-007 7.7e-003 6.7e-006 1.00e+000 1.664238919e+002 1.664241428e+002 5.6e-011 2.21
91 9.6e-008 7.7e-003 6.0e-006 1.00e+000 1.664239085e+002 1.664241343e+002 5.0e-011 2.23
92 8.6e-008 7.7e-003 5.4e-006 9.99e-001 1.664239235e+002 1.664241267e+002 4.5e-011 2.26
93 7.8e-008 7.6e-003 4.9e-006 1.00e+000 1.664239369e+002 1.664241198e+002 4.1e-011 2.28
94 7.0e-008 7.6e-003 4.4e-006 9.90e-001 1.664239490e+002 1.664241137e+002 3.7e-011 2.29
95 6.3e-008 6.8e-003 4.0e-006 1.00e+000 1.664239600e+002 1.664241080e+002 3.3e-011 2.32
96 5.7e-008 6.2e-003 3.6e-006 9.94e-001 1.664239698e+002 1.664241031e+002 3.0e-011 2.34
97 5.1e-008 5.5e-003 3.2e-006 1.00e+000 1.664239786e+002 1.664240985e+002 2.7e-011 2.36
98 4.6e-008 5.0e-003 2.9e-006 1.01e+000 1.664239869e+002 1.664240942e+002 2.4e-011 2.37
99 4.1e-008 4.5e-003 2.6e-006 9.99e-001 1.664239940e+002 1.664240906e+002 2.2e-011 2.40
100 3.7e-008 4.0e-003 2.3e-006 1.02e+000 1.664240008e+002 1.664240871e+002 2.0e-011 2.42
101 3.3e-008 3.6e-003 2.1e-006 9.88e-001 1.664240065e+002 1.664240842e+002 1.8e-011 2.45
102 3.0e-008 3.3e-003 1.9e-006 9.93e-001 1.664240117e+002 1.664240816e+002 1.6e-011 2.46
103 2.7e-008 2.9e-003 1.7e-006 9.84e-001 1.664240163e+002 1.664240793e+002 1.4e-011 2.48
104 2.4e-008 2.6e-003 1.5e-006 1.01e+000 1.664240205e+002 1.664240771e+002 1.3e-011 2.51
105 2.2e-008 2.4e-003 1.4e-006 9.99e-001 1.664240243e+002 1.664240751e+002 1.2e-011 2.53
106 2.0e-008 2.1e-003 1.2e-006 9.97e-001 1.664240276e+002 1.664240734e+002 1.1e-011 2.54
107 1.8e-008 1.9e-003 1.1e-006 9.84e-001 1.664240306e+002 1.664240719e+002 9.5e-012 2.57
108 1.6e-008 1.7e-003 1.0e-006 9.90e-001 1.664240334e+002 1.664240705e+002 8.5e-012 2.59
109 1.4e-008 1.6e-003 9.1e-007 1.00e+000 1.664240358e+002 1.664240692e+002 7.7e-012 2.61
110 1.3e-008 1.4e-003 8.2e-007 9.62e-001 1.664240380e+002 1.664240681e+002 6.9e-012 2.64
111 1.2e-008 1.3e-003 7.3e-007 1.09e+000 1.664240409e+002 1.664240665e+002 6.5e-012 2.67
112 1.1e-008 1.1e-003 6.6e-007 1.07e+000 1.664240432e+002 1.664240653e+002 6.1e-012 2.68
113 9.6e-009 1.0e-003 5.9e-007 9.22e-001 1.664240446e+002 1.664240646e+002 5.5e-012 2.70
114 8.6e-009 9.2e-004 5.4e-007 9.67e-001 1.664240459e+002 1.664240640e+002 4.9e-012 2.73
115 7.8e-009 8.3e-004 4.8e-007 9.83e-001 1.664240471e+002 1.664240634e+002 4.4e-012 2.75
116 7.0e-009 7.5e-004 4.3e-007 9.01e-001 1.664240482e+002 1.664240629e+002 4.0e-012 2.76
117 6.9e-009 6.7e-004 3.9e-007 1.21e+000 1.664240501e+002 1.664240617e+002 4.0e-012 2.79
118 6.7e-009 6.1e-004 3.5e-007 1.10e+000 1.664240513e+002 1.664240611e+002 3.8e-012 2.81
119 6.0e-009 5.5e-004 3.2e-007 1.22e+000 1.664240519e+002 1.664240607e+002 3.4e-012 2.84
120 5.5e-009 4.9e-004 2.8e-007 8.46e-001 1.664240525e+002 1.664240605e+002 3.1e-012 2.86
121 5.2e-009 4.4e-004 2.6e-007 1.06e+000 1.664240532e+002 1.664240601e+002 2.8e-012 2.87
122 5.0e-009 4.0e-004 2.3e-007 9.97e-001 1.664240536e+002 1.664240600e+002 2.5e-012 2.90
123 4.4e-009 3.6e-004 2.1e-007 9.04e-001 1.664240541e+002 1.664240598e+002 2.3e-012 2.92
124 5.6e-009 3.2e-004 1.9e-007 9.36e-001 1.664240545e+002 1.664240594e+002 2.0e-012 2.93
125 4.8e-009 2.9e-004 1.7e-007 1.69e+000 1.664240549e+002 1.664240591e+002 1.8e-012 2.96
126 4.2e-009 2.6e-004 1.5e-007 1.01e+000 1.664240552e+002 1.664240589e+002 1.6e-012 2.98
127 4.1e-009 2.3e-004 1.4e-007 1.82e+000 1.664240555e+002 1.664240588e+002 1.5e-012 3.01
128 3.8e-009 2.1e-004 1.2e-007 1.31e+000 1.664240558e+002 1.664240586e+002 1.3e-012 3.03
129 4.7e-009 1.9e-004 1.1e-007 2.22e+000 1.664240560e+002 1.664240585e+002 1.2e-012 3.06
130 4.8e-009 1.7e-004 9.9e-008 1.45e+000 1.664240562e+002 1.664240584e+002 1.1e-012 3.07
131 5.0e-009 1.5e-004 8.9e-008 1.41e+000 1.664240564e+002 1.664240583e+002 9.5e-013 3.10
Interior-point optimizer terminated. Time: 3.10.
Optimizer terminated. Time: 3.12
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6642405643e+002 Viol. con: 8e-008 var: 0e+000
Dual. obj: 1.6642405832e+002 Viol. con: 0e+000 var: 6e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.15 seconds.
Solving took 9 GP solves and 36.8 seconds.
Solves with these variables bounded:
value near lower bound: Mission.CruiseAlt
value near upper bound: Mission.Aircraft.HorizontalTail.WingBox.M_{r_{out}}, Mission.Aircraft.Engine.Thrust.\alpha_{max}, Mission.Aircraft.Wing.WingNoStruct.A_{tri}, Mission.TotalTime, Mission.Aircraft.LandingGear.d_{nacelle}, Mission.T_{t_{4.1_{max-Cruise}}}
Checking for relaxed constants...
Solution check warning: Primal solution computed cost did not match solver-returned cost: 3.195720307942955e+111 vs 3.19562831726e+111
GP iteration 0 has relaxed constants
Cost
----
3.196e+111
Free Variables
--------------
| Mission.Aircraft.Engine.Turbine.Relax
C_{p_{t2}} : 2.517 Cp Value for Combustion Products in LP Turbine
| Mission.Aircraft.Fuselage.Relax
l_{nose} : 1.039 Nose length
n_{pass} : [ 2.86 ] Number of passengers
| Mission.Aircraft.Relax
f_{L_{total/wing}} : 1.637 Total lift as a percentage of wing lift
| Mission.Aircraft.Wing.WingNoStruct.Relax
\tan(\Lambda) : 1.141 Tangent of quarter-chord sweep angle
| Mission.FlightState.Atmosphere.Relax
L_{atm} : [ 1.76 1 1 1 1 ] Temperature lapse rate
T_{sl} : [ 1 1 1.24 1 1 ] Temperature at sea level
| Mission.Relax
R_{req} : 2.528 Required Cruise Range
GP iteration 1 has relaxed constants
Cost
----
6.666e+73
Free Variables
--------------
| Mission.Aircraft.LandingGear.Relax
h_{hold} : 1 Hold height
Solution check warning: Primal solution computed cost did not match solver-returned cost: 3.983232440134501e+72 vs 3.98310686817e+72
WEIGHT DIFFERENCES
Total Fuel Weight Percent Diff: [-92.8331776]
Total Aircraft Weight Percent Diff: [-21.66908124]
Engine Weight Percent Diff: -57.337832023693736
Fuselage Weight Percent Diff: -0.8914276563145973
Payload Weight Percent Diff: [-0.0400356]
VT Weight Percent Diff: -9.158508091327155
HT Weight Percent Diff: -93.46341152380802
Wing Weight Percent Diff: 8.051432893691153
WING DIFFERENCES
Wing Span Percent Diff: -0.029993693922996185
Wing Area Percent Diff: 32.64773145775084
HORIZONTAL TAIL DIFFERENCES
HT Area Percent Diff: 39.7807214951979
VERTICAL TAIL DIFFERENCES
VT Span Percent Diff: -11.201411266359552
VT Area Percent Diff: -60.546121109353415
CRUISE SEGMENT 1 DRAG DIFFERENCES
Overall Cd Percent Diff: [-19.04385916]
L/D Percent Diff: [24.11839313]
Nacelle Cd Percent Diff: [-94.50016601]
HT Cd Percent Diff: [-81.04980869] dimensionless
Fuselage Cd Percent Diff: [108.78752887]
VT Cd Percent Diff: [-58.08573507] dimensionless
Wing Cd percent Diff: [-14.57543525]
Induced Drag Cd Percent Diff: [-0.01583823]
CRUISE SEGMENT 1 TSFC DIFFERENCES
Initial Cruise TSFC Percent Diff: [-90.38118721]
FUSELAGE DIFFERENCES
Weight of HB material: -39.91733741777173
Weight of VB material: 86.35825386079368
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.70585433]
Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 45.630s
OK
Generating XML reports...
Cloning into 'solar'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied: six>=1.5 in d:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Collecting git+https://github.com/convexengineering/gpfit.git
Cloning https://github.com/convexengineering/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-9gjs1m
Running command git clone -q https://github.com/convexengineering/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-9gjs1m'
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Created wheel for gpfit: filename=gpfit-0.1-cp27-none-any.whl size=25430 sha256=3c9b7bceae5c482053db6951f659814cec3eb136c7d9821a1a33743d7b8f24ce
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-oloeeb\wheels\d5\94\ac\b1f68b07599181f26f4b9149a1a6d49dfc5cdbc65de1a14d12
Successfully built gpfit
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Collecting git+https://github.com/convexengineering/gassolar.git
Cloning https://github.com/convexengineering/gassolar.git to c:\users\jenkins\appdata\local\temp\pip-req-build-xl0kqz
Running command git clone -q https://github.com/convexengineering/gassolar.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-xl0kqz'
Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.2.2)
Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gassolar==0.0.0.0) (0.9.0.1)
Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.11.0)
Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3)
Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0)
Building wheels for collected packages: gassolar
Building wheel for gassolar (setup.py): started
Building wheel for gassolar (setup.py): finished with status 'done'
Created wheel for gassolar: filename=gassolar-0.0.0.0-cp27-none-any.whl size=4895586 sha256=c5e19eb30551eba65478c485a4d64a52c3d94c48ddf77d8dc5448d81afd3da4f
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-njfned\wheels\fe\11\0a\2dde16df75c51194d20248ec9e30e88fc7200e9fc4664b032e
Successfully built gassolar
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Processing d:\jenkins\workspace\gplibrary_push_models\mosek\solar
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from solar==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from solar==0.0.0.0) (1.2.2)
Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from solar==0.0.0.0) (0.9.0.1)
Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (from solar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in d:\jenkins\workspace\gplibrary_push_models\mosek\gplibrary (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (0.9)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.11.0)
Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2017.3)
Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2.6.1)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->solar==0.0.0.0) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->solar==0.0.0.0) (2018.0.0)
Building wheels for collected packages: solar
Building wheel for solar (setup.py): started
Building wheel for solar (setup.py): finished with status 'done'
Created wheel for solar: filename=solar-0.0.0.0-cp27-none-any.whl size=14965 sha256=0567e947179a465dc7b1bdfcd29df0be64e789a02a63d8326f2191249a97217b
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-lwjhot\wheels\ce\3e\c7\684dc25c7e90a46c88fdf4c730f9fc06ebd99e02f86c9e22e3
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'
N=1
Beginning signomial solve.
Solving took 5 GP solves and 1.54 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632916.9408 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259333.2946 but bound is 1000000.0000
N=3
Beginning signomial solve.
rw: problem unsolved after 51 iterations.
The last result is available in Model.program.gps[-1].result. If the gps
appear to be converging, you may wish to increase the iteration limit by
calling .localsolve(..., iteration_limit=NEWLIMIT).
e: The constraint CFRPFabric.Relax.tmin >= 1 is infeasible by 228.083990%
N=5
Beginning signomial solve.
Solving took 5 GP solves and 2.51 seconds.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 989673.4661 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1019678.5407 but bound is 1000000.0000
N=7
Beginning signomial solve.
Solving took 5 GP solves and 1.59 seconds.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976142.1467 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.4121 but bound is 1000000.0000
N=9
Beginning signomial solve.
Solving took 5 GP solves and 1.92 seconds.
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007400.4750 but bound is 600000.0000
Warning: Variable Mission5.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092545.5122 but bound is 1000000.0000
N=0
Beginning signomial solve.
Solving took 4 GP solves and 1.01 seconds.
Warning: Variable Mission6.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission6.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119121.2012 but bound is 600000.0000
N=1
Beginning signomial solve.
Solving took 5 GP solves and 2.58 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632919.3776 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.5070 but bound is 1000000.0000
N=3
Beginning signomial solve.
cpe: Command '[u'mskexpopt', u'c:\\users\\jenkins\\appdata\\local\\temp\\tmpfwge5f\\gpkit_mosek', u'-sol', u'c:\\users\\jenkins\\appdata\\local\\temp\\tmpfwge5f\\gpkit_mosek.sol']' returned non-zero exit status 1432
N=5
Beginning signomial solve.
Solving took 5 GP solves and 2.73 seconds.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 989673.1341 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1019680.6011 but bound is 1000000.0000
N=7
Beginning signomial solve.
Solving took 5 GP solves and 2.78 seconds.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976138.7332 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.9154 but bound is 1000000.0000
N=9
Beginning signomial solve.
Solving took 5 GP solves and 3.24 seconds.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007396.6632 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.5684 but bound is 1000000.0000
N=0
Beginning signomial solve.
Solving took 4 GP solves and 1.94 seconds.
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.92 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 671709.7422 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.46 seconds.
Allowing negative dual variable(s) as small as -5.9244971667253565e-12.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 729183.6173 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.54 seconds.
Allowing negative dual variable(s) as small as -1.6641208701838328e-11.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 802959.5988 but bound is 600000.0000
Using solver 'mosek'
Solving for 7672 variables.
Solving took 2.42 seconds.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839122.5077 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.65 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 671709.7444 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.55 seconds.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 729183.6153 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.58 seconds.
Allowing negative dual variable(s) as small as -5.484907864207368e-13.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 802959.5988 but bound is 600000.0000
Using solver 'mosek'
Solving for 7672 variables.
Solving took 2.38 seconds.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839122.5075 but bound is 600000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.02 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119121.2022 but bound is 600000.0000
Beginning signomial solve.
Solving took 4 GP solves and 0.98 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119121.2014 but bound is 600000.0000
Running tests...
----------------------------------------------------------------------
D:\Anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
D:\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: divide by zero encountered in divide
tau = np.exp(-0.175/costhsun)
....
----------------------------------------------------------------------
Ran 6 tests in 308.866s
OK
Generating XML reports...
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied: six>=1.5 in d:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-xsq0vq
Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-xsq0vq'
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in d:\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Requirement already satisfied: mkl in d:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in d:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Created wheel for gpfit: filename=gpfit-0.1-cp27-none-any.whl size=25430 sha256=957c7ea173dc274d8baf66598c0d8f0dbb45c1bd59258c35b7d2b2017faef2e9
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-jhtjkg\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f
Successfully built gpfit
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Processing d:\jenkins\workspace\gplibrary_push_models\mosek\gplibrary
Requirement already satisfied: numpy>=1.12 in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2)
Building wheels for collected packages: gpkitmodels
Building wheel for gpkitmodels (setup.py): started
Building wheel for gpkitmodels (setup.py): finished with status 'done'
Created wheel for gpkitmodels: filename=gpkitmodels-0.0.0.0-cp27-none-any.whl size=66226 sha256=66f4e99712ee060a4fe220c6b2baacd58f1fc4766b0daf741694b87589431728
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-a6thpp\wheels\7e\b9\8c\c001975c73314aa5cbad40b4ac5bd7134640e5d0e53f0a5710
Successfully built gpkitmodels
Installing collected packages: gpkitmodels
Found existing installation: gpkitmodels 0.0.0.0
Uninstalling gpkitmodels-0.0.0.0:
Successfully uninstalled gpkitmodels-0.0.0.0
Successfully installed gpkitmodels-0.0.0.0
adding test for 'gpkitmodels/GP/aircraft/wing/wing_test.py'
adding test for 'gpkitmodels/GP/aircraft/tail/tail_tests.py'
adding test for 'gpkitmodels/GP/aircraft/fuselage/test_fuselage.py'
adding test for 'gpkitmodels/GP/aircraft/prop/prop_test.py'
adding test for 'gpkitmodels/GP/aircraft/motor/motor_test.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_mission.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_multimission.py'
Using solver 'mosek'
Solving for 11 variables.
Solving took 0.034 seconds.
Using solver 'mosek_cli'
Solving for 11 variables.
Solving took 0.155 seconds.
Using solver 'mosek'
Solving for 9 variables.
Solving took 0.032 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.031 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.022 seconds.
Beginning signomial solve.
Solving took 16 GP solves and 1.14 seconds.
Using solver 'mosek_cli'
Solving for 9 variables.
Solving took 0.082 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.102 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.134 seconds.
Beginning signomial solve.
Solving took 16 GP solves and 3.82 seconds.
Using solver 'mosek'
Solving for 13 variables.
Solving took 0.021 seconds.
Beginning signomial solve.
Solving took 11 GP solves and 0.905 seconds.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619897.4159 but bound is 700000.0000
Using solver 'mosek_cli'
Solving for 13 variables.
Solving took 0.089 seconds.
Beginning signomial solve.
Solving took 11 GP solves and 2.72 seconds.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220953.3481 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.9721 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223878.3883 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223877.9562 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884891.2729 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.4978 but bound is 700000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (3.4e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (4.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (4.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (3.4e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (4.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (4.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Beginning signomial solve.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.025 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.019 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.028 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.034 seconds.
Solving took 4 GP solves and 0.116 seconds.
Beginning signomial solve.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.147 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.165 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.162 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.176 seconds.
Solving took 4 GP solves and 0.668 seconds.
Running tests...
----------------------------------------------------------------------
..D:\Anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..............
----------------------------------------------------------------------
Ran 16 tests in 21.335s
OK
Generating XML reports...
Cloning into 'eVTOL'...
Checking out files: 66% (64/96)
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Checking out files: 100% (96/96), done.
adding test for 'aircraft_models.py'
Running tests...
----------------------------------------------------------------------
..
----------------------------------------------------------------------
Ran 2 tests in 2.192s
OK
Generating XML reports...
same goes for any other bugs you encounter with GPkit:
send 'em our way, along with any interesting models, speculative features,
comments, discussions, or clarifications you feel like sharing.
Finally, we hope you find our documentation (https://gpkit.readthedocs.io/)
and engineering-design models (https://github.com/convexengineering/gplibrary/)
to be useful resources for your own applications.
Enjoy!
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
attempt 1
calling ['pip', 'install', '--no-cache-dir', '--no-deps', '-e', 'gplibrary']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/shopping.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {})
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'})
calling ['pip', 'install', 'pandas']
attempt 1
calling ['pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/jho.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'})
calling ['pip', 'install', 'pandas']
attempt 1
calling ['pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/turbofan.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt, mosek_cli', 'gpkit-models branch': 'master'})
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/SPaircraft.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt, mosek_cli', 'pip install': 'git+https://github.com/hoburg/turbofan.git', 'gpkit-models branch': 'master'})
calling ['pip', 'install', 'git+https://github.com/hoburg/turbofan.git']
attempt 1
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/solar.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', 'gpkit-models branch': 'master'})
calling ['pip', 'install', 'pandas']
attempt 1
calling ['pip', 'install', 'git+https://github.com/convexengineering/gpfit.git']
attempt 1
calling ['pip', 'install', 'git+https://github.com/convexengineering/gassolar.git']
attempt 1
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
attempt 1
attempt 2
attempt 3
attempt 4
attempt 5
SETTINGS
defaultdict(<type 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git'})
calling ['pip', 'install', 'pandas']
attempt 1
calling ['pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/eVTOL.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {})
----------------------------------------------------------------------
Ran 240 tests in 191.510s
OK
(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_Push_Models\mosek>exit 0
INFO: Starting to record.
INFO: Processing JUnit
INFO: [JUnit] - 8 test report file(s) were found with the pattern '**/test_reports/*.xml, **/test_reports_nounits/*.xml' relative to 'D:\jenkins\workspace\gplibrary_Push_Models\mosek' for the testing framework 'JUnit'.
INFO: Check 'Failed Tests' threshold.
INFO: Check 'Skipped Tests' threshold.
INFO: Setting the build status to SUCCESS
INFO: Stopping recording.
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: SUCCESS