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:
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. SoPlex is free for academic research and available in source code. It can be licensed for commercial use.
|15/December/2021||Beta version 6.0.0 released as part of the SCIP Optimization Suite 8.0.0 CHANGELOG|
|26/May/2021||Public Mirrors on GitHub
The two main development branches of SCIP, SoPlex and PaPILO are now publicly mirrored on GitHub.
|13/Jan/2021||Version 5.0.2 released. CHANGELOG|
|19/Dec/2020||Version 5.0.2 beta released.|
|23/Jun/2020||Version 5.0.1 released. CHANGELOG|
|30/Mar/2020||Version 5.0.0 released. CHANGELOG|
|10/Jul/2019||Version 4.0.2 released. CHANGELOG|
|28/Jun/2019||Beta of Version 4.0.2 released.|
|10/Jan/2019||Version 4.0.1 released. CHANGELOG|
|02/Jul/2018||Version 4.0.0 released. CHANGELOG|
|05/Feb/2018||Version 3.1.1 released. CHANGELOG|
|21/Dec/2017||Version 3.1.0 released. Release Notes|
|01/Sep/2017||Version 3.0.1 released. Release Notes|
|09/Mar/2017||Version 3.0.0 released. Release Notes|
|29/Feb/2016||Version 2.2.1 released. Release Notes|
|01/Jul/2015||Version 2.2.0 released. Release Notes|
|23/Mar/2015||Binaries for Windows available for download.|
|18/Dec/2014||Version 2.0.1 released. Release Notes|
|07/Mar/2014||Binaries for Linux and Windows available for download.|
|27/Feb/2014||Version 2.0.0 released. Release Notes|
|16/Oct/2013||Version 1.7.2 released. Release Notes|
|04/Jan/2013||Version 1.7.1 released. Release Notes|
|31/Jul/2012||Version 1.7.0 released. Release Notes|
|28/Oct/2011||Version 1.6.0 released. Release Notes|
|30/Sep/2010||Version 1.5.0 released. Release Notes|
|06/Aug/2010||Patch 1.4.2c available for download providing an additional interface method to set a starting basis in the SoPlex class.|
|19/Jan/2010||Patch 1.4.2b available for download. Please update if you encounter problems in combination with older compiler versions.|
|12/Jun/2009||Patch 1.4.2a available for download. Please update.|
|11/Sep/2009||Version 1.4.2 released. Release Notes|
|20/Feb/2009||Version 1.4.1 released. Release Notes|
|30/Sep/2008||Version 1.4.0 released. Release Notes|
|27/Aug/2007||Version 1.3.2 released. Release Notes|
|17/Nov/2006||Version 1.3.1 released. Release Notes|
|03/Feb/2006||Version 1.3.0 released. Release Notes|
|10/Apr/2002||Version 1.2.1 released. Release Notes|
|14/Jan/2002||Version 1.2.0 released. Release Notes|
SoPlex is distributed under the ZIB Academic License. You
are allowed to retrieve SoPlex for research
purposes as a member of a non-commercial and
If you want to use SoPlex commercially or if you are interested in maintenance and support, please contact I²DAMO GmbH.
Any publication for which SoPlex is used must include an acknowledgement and a reference to one of the following articles, depending on the version used:
The SCIP Optimization Suite 7.0
Gerald Gamrath, Daniel Anderson, Ksenia Bestuzheva, Wei-Kun Chen, Leon Eifler, Maxim Gasse, Patrick Gemander, Ambros Gleixner, Leona Gottwald, Katrin Halbig, Gregor Hendel, Christopher Hojny, Thorsten Koch, Pierre Le Bodic, Stephen J. Maher, Frederic Matter, Matthias Miltenberger, Erik Mühmer, Benjamin Müller, Marc E. Pfetsch, Franziska Schlösser, Felipe Serrano, Shinano Yuji, Christine Tawfik, Stefan Vigerske, Fabian Wegscheider, Dieter Weninger, Jakob Witzig
Available at Optimization Online and as ZIB-Report 20-10, March 2020
The SCIP Optimization Suite 6.0
Ambros Gleixner, Michael Bastubbe, Leon Eifler, Tristan Gally, Gerald Gamrath, Robert Lion Gottwald, Gregor Hendel, Christopher Hojny, Thorsten Koch, Marco E. Lübbecke, Stephen J. Maher, Matthias Miltenberger, Benjamin Müller, Marc E. Pfetsch, Christian Puchert, Daniel Rehfeldt, Franziska Schlösser, Christoph Schubert, Felipe Serrano, Yuji Shinano, Jan Merlin Viernickel, Matthias Walter, Fabian Wegscheider, Jonas T. Witt, Jakob Witzig
Available at Optimization Online and as ZIB-Report 18-26, July 2018
The SCIP Optimization Suite 5.0
Ambros Gleixner, Leon Eifler, Tristan Gally, Gerald Gamrath, Patrick Gemander, Robert Lion Gottwald, Gregor Hendel, Christopher Hojny, Thorsten Koch, Matthias Miltenberger, Benjamin Müller, Marc E. Pfetsch, Christian Puchert, Daniel Rehfeldt, Franziska Schlösser, Felipe Serrano, Yuji Shinano, Jan Merlin Viernickel, Stefan Vigerske, Dieter Weninger, Jonas T. Witt, Jakob Witzig
ZIB-Report 17-61, Zuse Institute Berlin, December 2017
The SCIP Optimization Suite 4.0
Stephen J. Maher, Tobias Fischer, Tristan Gally, Gerald Gamrath, Ambros Gleixner, Robert Lion Gottwald, Gregor Hendel, Thorsten Koch, Marco E. Lübbecke, Matthias Miltenberger, Benjamin Müller, Marc E. Pfetsch, Christian Puchert, Daniel Rehfeldt, Sebastian Schenker, Robert Schwarz, Felipe Serrano, Yuji Shinano, Dieter Weninger, Jonas T. Witt, Jakob Witzig
ZIB-Report 17-12, Zuse Institute Berlin, March 2017
The SCIP Optimization Suite 3.2
Gerald Gamrath, Tobias Fischer, Tristan Gally, Ambros M. Gleixner, Gregor Hendel, Thorsten Koch, Stephen J. Maher, Matthias Miltenberger, Benjamin Müller, Marc E. Pfetsch, Christian Puchert, Daniel Rehfeldt, Sebastian Schenker, Robert Schwarz, Felipe Serrano, Yuji Shinano, Stefan Vigerske, Dieter Weninger, Michael Winkler, Jonas T. Witt, Jakob Witzig
ZIB-Report 15-60, Zuse Institute Berlin, February 2016
If you use SoPlex as an exact rational LP solver, please cite the references
Improving the Accuracy of Linear Programming Solvers with Iterative Refinement
Ambros M. Gleixner, Daniel E. Steffy, Kati Wolter
Proc. of ISSAC '12, pages 187--194, 2012, available as ZIB-Report 12-19
The files you can download here come without warranty. Use at your own risk!
If you use conda, you can install soplex using the conda packages.
SoPlex is implemented in C++. The code should be compliant with the current ANSI standard. With a modern C++ compiler you should be able to compile the code on any platform.
More details can be found in the Doxygen documentation.
SoPlex is also available on the NEOS Server, where you can post your model in LP or MPS format to solve it.
|Sebastian Orlowski||now at atesio|
|Roland Wunderling||former main developer - now at IBM|
© 2022 by Zuse Institute Berlin (ZIB).
For the imprint and privacy statement we refer to the Imprint of ZIB with the following additions and modifications:
The sharing and storage of this information is necessary due to the contract between ZIB and I2DAMO GmbH that allows I2DAMO GmbH to issue commercial SoPlex licenses. Furthermore the number of SoPlex downloads is tracked and used to generate statistics about the downloads and to generate the world map of download locations. The personal information is used to distinguish the number of downloads from the number of users per year, that might download more than one version or archive. In addition to the privacy statements of ZIB and I2DAMO GmbH we hereby declare that your name and affiliation recorded for the SoPlex download