Python module for numerical optimization
  1 review

Numerical optimization framework developed in python which provides connections to lots of solvers with easy and unified openopt syntax. problems which can be tackled with openopt
* linear problem (lp)
* mixed-integer linear problem (milp)
* quadratic problem (qp)
* non-linear problem (nlp)
* non-smooth problem (nsp)
* non-linear solve problem (nlsp)
* least squares problem (lsp)
* linear least squares problem (llsp)
* mini-max problem (mmp)
* global problem (glp)
a variety of solvers is available (e.g. ipopt, algencan).
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blueXrider 11 years ago

its ok