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 details)

Uploaded Source

File details

Details for the file pycpx-0.03.tar.gz.

File metadata

  • Download URL: pycpx-0.03.tar.gz
  • Upload date:
  • Size: 205.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pycpx-0.03.tar.gz
Algorithm Hash digest
SHA256 c3cefd66e9ca615c61fb9de39ea74590ae7c6bbfdfab40ec8ed43cac711f759f
MD5 8a97d6943dfee191731bfd5d0a6f8320
BLAKE2b-256 7acab39fd44491cbe3c471560daad407f257f83fdd4fc63f31f86a51c340e34a

See more details on using hashes here.

Supported by

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