Description:

Universal Python-written numerical optimization toolbox. Problems: NLP, LP, QP, SDP, SOCP, DFP(Non-linear Data Fit), NSP(nonsmooth), MILP, LSP, LLSP, MMP, GLP, MINLP, MOP etc. Connects to dozens of solvers (some are C- or Fortran-written).

Provides graphic output of convergence and some more numerical optimization "MUST HAVE" features.

Our another tool FuncDesigner allows to involve automatic differentiation, uncertainty and interval analysis, categorical variables, general logical constraints, more convenient modeling of some optimization problems, systems of (non)linear equations (solver "interalg" can find ALL roots), possibly sparse/overdetermined, systems of ordinary differential equations and much more.

Changes to previous version:

http://openopt.org/Changelog

BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Windows, Macos, Unix, Solaris

Data Formats: Mps

Tags: Python, Optimization

Archive: download here

Comments

doug (on March 28, 2009, 12:51:07)

Excellent resource. Surprising reliability (stability & accuracy) for a library of this breadth.

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