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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).
Can optimize FuncDesigner models with automatic differentiation.
Provides graphic output of convergence and some more numerical optimization "MUST HAVE" features.
You are welcome to our recently created Numerical Optimization Forum
http://forum.openopt.org
- 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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