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 ("quad") precision for
numerically difficult LPs,
- an LP iterative refinement procedure to compute high-precision
solution, 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.
This package contains a command-line tool to access SoPlex
functionality.
* Sat Jul 20 2024 Fedora Release Engineering <releng@fedoraproject.org> - 7.1.0-3
- Rebuilt for https://fedoraproject.org/wiki/Fedora_41_Mass_Rebuild
* Wed Jul 17 2024 Jerry James <loganjerry@gmail.com> - 7.1.0-2
- Fix the VCS field
* Mon Jun 24 2024 Jerry James <loganjerry@gmail.com> - 7.1.0-1
- Version 7.1.0
- Drop upstreamed template-id patch
* Wed Jun 19 2024 Jerry James <loganjerry@gmail.com> - 7.0.1-1
- Version 7.0.1
- Drop upstreamed nondefinition, python3, and segfault patches
- Add patch for invalid C++ template IDs
* Wed Mar 13 2024 Jerry James <loganjerry@gmail.com> - 7.0.0-1
- Version 7.0.0
- Note that fmt is now bundled
- Add MIT to License for the bundled fmt
- Drop upstreamed invalid-array-assignment patch
- Add patch to avoid potential segfault
* Fri Feb 23 2024 Jerry James <loganjerry@gmail.com> - 6.0.4-1
- Initial RPM