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since 2007/10/24

The page is obsolete, we have moved to openopt.org

Linear Problems (LP)

f' * x -> min
subjected to
lb <= x <= ub
A*x <= b
Aeq*x = beq

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OpenOpt LP example >>>

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LP solvers

Solver	License	Made by	Info	Parameters
lpSolve	LGPL	Michel Berkelaar	use URL or software channel for download and install lpsolve+Python binding. Ensure liblpsolve55.so (maybe other version or extension for non-Linux OS) is included to OS library path. Run [sudo] lp_solve_5.5/extra/Python/build.bat (i.e. with root (admin) privileges)
cvxopt_lp	GPL3	Lieven Vandenberghe, Joachim Dahl	requires CVXOPT installed	scale = {1, 0, True, False} default: False
glpk (name cvxopt_glpk is obsolete)	GPL	Andrew Makhorin	Requires installation glpk + CVXOPT. Ensure CVXOPT setup.py file has line BUILD_GLPK=1, I don't know is it handling properly while CVXOPT +/- glpk installation from software install/update channels like aptitude, apt-get etc
converter to nlp		Dmitrey	Example: r = p.solve('nlp:ipopt', plot=1). Can handle x0. Recommended solvers (mb require installation, see NLP doc page): ipopt, algencan. For ralg reducing p.ftol and p.xtol is usually required (it's intended to be fixed in future versions)