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- 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 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 + more convenient modeling of some optimization problems, SLEs (systems of linear equations, possibly sparse/overdetermined) and systems of ordinary differential equations.
- Changes to previous version:
http://openopt.org/Changelog
Comments
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- doug (on March 28, 2009, 12:51:07)
- Excellent resource. Surprising reliability (stability & accuracy) for a library of this breadth.
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