SoPlex

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 61 articles , 1 standard article )

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  1. Anders Jensen, Jeff Sommars, Jan Verschelde: Computing Tropical Prevarieties in Parallel (2017) arXiv
  2. Gleixner, Ambros M.; Berthold, Timo; Müller, Benjamin; Weltge, Stefan: Three enhancements for optimization-based bound tightening (2017)
  3. Göttlich, Simone; Potschka, Andreas; Ziegler, Ute: Partial outer convexification for traffic light optimization in road networks (2017)
  4. D’Andreagiovanni, Fabio; Gleixner, Ambros M.: Towards an accurate solution of wireless network design problems (2016)
  5. Gleixner, Ambros M.; Steffy, Daniel E.; Wolter, Kati: Iterative refinement for linear programming (2016)
  6. Lutter, Pascal: Optimized load planning for motorail transportation (2016)
  7. Maher, Stephen; Miltenberger, Matthias; Pedroso, João Pedro; Rehfeldt, Daniel; Schwarz, Robert; Serrano, Felipe: PySCIPOpt: mathematical programming in python with the SCIP optimization suite (2016)
  8. Abe, Fabio Henrique N.; Hoshino, Edna A.; Hill, Alessandro: The ring tree facility location problem (2015)
  9. Berthold, Timo; Hendel, Gregor: Shift-and-propagate (2015)
  10. Gamrath, Gerald; Koch, Thorsten; Martin, Alexander; Miltenberger, Matthias; Weninger, Dieter: Progress in presolving for mixed integer programming (2015)
  11. Gamrath, Gerald; Melchiori, Anna; Berthold, Timo; Gleixner, Ambros M.; Salvagnin, Domenico: Branching on multi-aggregated variables (2015)
  12. Gleixner, Ambros M.: Exact and fast algorithms for mixed-integer nonlinear programming (2015)
  13. Hendel, Gregor: Enhancing MIP branching decisions by using the sample variance of pseudo costs (2015)
  14. Humpola, Jesco; Fügenschuh, Armin; Lehmann, Thomas: A primal heuristic for optimizing the topology of gas networks based on dual information (2015)
  15. Ma, Ding; Saunders, Michael A.: Solving multiscale linear programs using the simplex method in quadruple precision (2015)
  16. Berthold, Timo: RENS. The optimal rounding (2014)
  17. Ferreau, Hans Joachim; Kirches, Christian; Potschka, Andreas; Bock, Hans Georg; Diehl, Moritz: qpOASES: a parametric active-set algorithm for quadratic programming (2014)
  18. Gamrath, Gerald: Improving strong branching by domain propagation (2014)
  19. Berthold, Timo: Measuring the impact of primal heuristics (2013)
  20. Berthold, Timo; Salvagnin, Domenico: Cloud branching (2013)

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