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Project Description
PyCPX is a python wrapper for the CPlex Optimization Suite that
focuses on speed, ease of use, and seamless integration with numpy.
CPlex is a powerful solver for linear and quadratic programs over
real, linear, and boolean variables. PyCPX allows one to naturally
express such programs using numpy and natural python constructs.

PyCPX requires IBM's `ILog Concert Technology`_ Suite, which is
available for free under IBM's Academic Initiative program or as part
of the CPlex Optimization Suite.

To install, type

python setup.py install

This compiles the included C++ source generated by cython. To compile
the cython source file into C++, type

python setup.py install --cython

To compile the documentation, type

make html

in the doc/ directory. The documentation will then be in
doc/.build/html.

Additional documentation can be found at
http://www.stat.washington.edu/~hoytak/code/pycpx/
Release History

Release History

0.03

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.02

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.01

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pycpx-0.03.tar.gz (205.3 kB) Copy SHA256 Checksum SHA256 Source Dec 31, 2012

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