Lpsolve

LpSolve: Open-Source Linear Programming Solver

LpSolve is an open-source linear programming solver, formulating linear optimization problems in a simple modeling language and solving them with either the revised simplex method or the primal-dual interior point method.

What is Lpsolve?

lpsolve is an open-source software package for solving linear programming problems. It supports pure linear programs as well as mixed integer linear programs. lpsolve features an easy-to-use modeling language to formulate optimization problems and allows exporting models in MPS or LP format.

Some key capabilities and features of lpsolve include:

• Solve pure linear programs with continuous or integer variables using the revised simplex method or primal-dual interior point method
• Formulate problems easily using its simple modeling language
• Import/export optimization models in industry standard MPS and LP format
• Solve problems with up to 100,000 variables and 250,000 constraints
• Call lpsolve from other applications using its API
• Available as a standalone executable, shared library or Python module
• Free and open-source software released under LGPL

lpsolve is implemented in C and source code is available, allowing it to be included within other applications. Bindings exist for using lpsolve from Python, Java, C#, and other languages. It runs on Windows, Linux, Mac OSX and other platforms.

Overall, lpsolve is a versatile and capable linear programming solver suitable for small to medium optimization problems. Its ease-of-use and availability across platforms and languages make it useful for students, academics, and developers.

Lpsolve Features

Official Links