python-openopt – Python module for numerical optimization

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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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Package availability chart

Distribution	Base version	Our version	Architectures
Debian GNU/Linux 10.0 (buster)	0.38+svn1589-1.1
Debian GNU/Linux 9.0 (stretch)	0.38+svn1589-1.1	0.38+svn1589-1~nd70+1+nd90+1	i386, amd64, sparc, armel
Debian unstable (sid)		0.38+svn1589-1~nd+1	i386, amd64, sparc, armel
Ubuntu 16.04 “Xenial Xerus” (xenial)	0.38+svn1589-1.1
Ubuntu 18.04 “Bionic Beaver” (bionic)	0.38+svn1589-1.1

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