Coopr is a collection of Python optimization-related packages that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. The following are key Coopr capabilities that are driving Coopr development:
- Pyomo: Formulate algebraic models within Python's modern programming language
- PySP: Generic solvers for stochastic programming problems
- COLIN: Scripts that simplify IO between optimizers and black-box applications
- SUCASA: Customize MIP solvers to expose model structure to the MIP solver engine
See https://software.sandia.gov/trac/coopr/wiki/GettingStarted for instructions for getting started with Coopr. An installation script, coopr_install, is provided to simplify the installation of Coopr packages along with the third-party Python packages that they depend on. This installer can also automatically install extension packages from Coin Bazaar. See http://groups.google.com/group/coopr-forum/topics for online discussions of Coopr.
Two recent Coopr developments are noteworthy:
Bazaar project to host plug-in packages for Coopr (e.g., see the coopr.neos package in Coin Bazaar).
II. We have recently released Coopr 2.3. This release includes
- A preliminary Gurobi solver interface
- Extended syntax for data command files:
o 'include' command to load other data command files
o 'import' command to load data from other sources
o namespaces to next data declarations
- The coopr_install script can install packages from Coin Bazaar
- New conversion scripts to generate LP or NL files from Pyomo models
- Solvers now extract standard suffix information
- Various fixes to PySP solvers
- Full support for PyPI. You can install from PyPI using the 'Coopr' package name.