OpenOpt consists of few own solvers, and includes interfaces to a number of other, many of which are written in C/Fortran. Involving FuncDesigner can yield additional RAD abilities and Automatic differentiation for some classes of NonLinearProblems.
OpenOpt offers you a handy toolbox you can use for numerical optimization software development.
Requirements:
· Python v. 2.5 or 2.6
What's New in This Release: [ read full changelog ]
· Essential improvements for FuncDesigner interval analysis (thus affect interalg)
· Temporary walkaround for a serious bug in FD automatic differentiation kernel due to a bug in some versions of Python or NumPy, may affect optimization problems, including (MI)LP, (MI)NLP, TSP etc
· Some other minor bugfixes and improvements
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