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).