SoPlex is a Linear Programming (LP) solver based on the revised simplex algorithm. It features preprocessing techniques, exploits sparsity, and offers primal and dual solving routines. It can be used as a standalone solver reading MPS or LP format files as well as embedded into other programs via a C++ class library. SoPlex has been implemented as a part of Roland Wunderling’s Ph.D. thesis Paralleler und Objektorientierter Simplex-Algorithmus (in German) and is available in source code. SoPlex is free for academic research and can be licensed for commercial use.

References in zbMATH (referenced in 75 articles , 1 standard article )

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  1. Berthold, Timo: A computational study of primal heuristics inside an MI(NL)P solver (2018)
  2. Chen, Wei-Kun; Chen, Liang; Yang, Mu-Ming; Dai, Yu-Hong: Generalized coefficient strengthening cuts for mixed integer programming (2018)
  3. Thammawichai, Mason; Kerrigan, Eric C.: Energy-efficient real-time scheduling for two-type heterogeneous multiprocessors (2018)
  4. Anders Jensen, Jeff Sommars, Jan Verschelde: Computing Tropical Prevarieties in Parallel (2017) arXiv
  5. Belotti, Pietro; Berthold, Timo: Three ideas for a feasibility pump for nonconvex MINLP (2017)
  6. Escobedo, Adolfo R.; Moreno-Centeno, Erick: Roundoff-error-free basis updates of LU factorizations for the efficient validation of optimality certificates (2017)
  7. Gamrath, Gerald; Koch, Thorsten; Maher, Stephen J.; Rehfeldt, Daniel; Shinano, Yuji: SCIP-Jack -- a solver for STP and variants with parallelization extensions (2017)
  8. Gleixner, Ambros M.; Berthold, Timo; Müller, Benjamin; Weltge, Stefan: Three enhancements for optimization-based bound tightening (2017)
  9. Göttlich, Simone; Potschka, Andreas; Ziegler, Ute: Partial outer convexification for traffic light optimization in road networks (2017)
  10. Toth, Csaba D. (ed.); Goodman, Jacob E. (ed.); O’Rourke, Joseph (ed.): Handbook of discrete and computational geometry (2017)
  11. D’Andreagiovanni, Fabio; Gleixner, Ambros M.: Towards an accurate solution of wireless network design problems (2016)
  12. Gleixner, Ambros M.; Steffy, Daniel E.; Wolter, Kati: Iterative refinement for linear programming (2016)
  13. Jakob Witzig, Timo Berthold, Stefan Heinz: Experiments with Conflict Analysis in Mixed Integer Programming (2016) arXiv
  14. Jensen, Anders; Leykin, Anton; Yu, Josephine: Computing tropical curves via homotopy continuation (2016)
  15. Lutter, Pascal: Optimized load planning for motorail transportation (2016)
  16. Maher, Stephen; Miltenberger, Matthias; Pedroso, João Pedro; Rehfeldt, Daniel; Schwarz, Robert; Serrano, Felipe: PySCIPOpt: mathematical programming in python with the SCIP optimization suite (2016)
  17. Towhidi, Mehdi; Orban, Dominique: Customizing the solution process of COIN-OR’s linear solvers with python (2016)
  18. Abe, Fabio Henrique N.; Hoshino, Edna A.; Hill, Alessandro: The ring tree facility location problem (2015)
  19. Berthold, Timo; Hendel, Gregor: Shift-and-propagate (2015)
  20. Gamrath, Gerald; Koch, Thorsten; Martin, Alexander; Miltenberger, Matthias; Weninger, Dieter: Progress in presolving for mixed integer programming (2015)

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