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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, uncertainty and interval analysis, more convenient modeling of some optimization problems, systems of (non)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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