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Package: python-scikits-openopt (0.19+svn1555-1)

Python module for numerical optimization

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).

Other Packages Related to python-scikits-openopt

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  • dep: python-central (>= 0.6.7)
    register and build utility for Python packages
  • dep: python-numpy
    Numerical Python adds a fast array facility to the Python language
  • sug: lp-solve
    Solve (mixed integer) linear programming problems

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