Skip to main content

A fast and flexible numpy-based wrapper for CPLex's Optimization Suite.

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/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pycpx-0.03.tar.gz (205.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page