SoPlex is an optimization package for solving linear programming problems (LPs) based on an advanced implementation of the primal and dual revised simplex algorithm. It provides special support for the exact solution of LPs with rational input data. It can be used as a standalone solver reading MPS or LP format files via a command line interface as well as embedded into other programs via a C++ class library. The main features of SoPlex are:
- presolving, scaling, exploitation of sparsity, hot-starting from any regular basis,
- column- and row-oriented form of the simplex algorithm,
- an object-oriented software design written in C++,
- a compile-time option to use 80bit extended ("long double") precision for numerically difficult LPs,
- an LP iterative refinement as well as a precision boosting procedure, to compute high-precision solutions, and
- routines for an exact rational LU factorization and continued fraction approximations in order to compute exact solutions.
SoPlex has been used in numerous research and industry projects and is the standard LP solver linked to the mixed-integer nonlinear programming and constraint integer programming solver SCIP.
The original instance of this repository is hosted at git.zib.de and a read-only mirror is available at github.com/scipopt/soplex.
SoPlex is part of the SCIP Optimization Suite, online at scipopt.org.
Further information and resources are available through the official SoPlex website at soplex.zib.de including
- online documentation of the code
- with information how to get started and
- how to cite SoPlex when you use it in scientific publications.
For installation instructions have a look here or in the online documentation.
