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Enabling Research through the SCIP Optimization Suite 8.0

Authors :
Bestuzheva, Ksenia
Besançon, Mathieu
Chen, Wei-Kun
Chmiela, Antonia
Donkiewicz, Tim
van Doornmalen, Jasper
Eifler, Leon
Gaul, Oliver
Gamrath, Gerald
Gleixner, Ambros
Gottwald, Leona
Graczyk, Christoph
Halbig, Katrin
Hoen, Alexander
Hojny, Christopher
van der Hulst, Rolf
Koch, Thorsten
Lübbecke, Marco
Maher, Stephen J.
Matter, Frederic
Mühmer, Erik
Müller, Benjamin
Pfetsch, Marc E.
Rehfeldt, Daniel
Schlein, Steffan
Schlösser, Franziska
Serrano, Felipe
Shinano, Yuji
Sofranac, Boro
Turner, Mark
Vigerske, Stefan
Wegscheider, Fabian
Wellner, Philipp
Weninger, Dieter
Witzig, Jakob
Publication Year :
2023
Publisher :
arXiv, 2023.

Abstract

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP. The focus of this paper is on the role of the SCIP Optimization Suite in supporting research. SCIP's main design principles are discussed, followed by a presentation of the latest performance improvements and developments in version 8.0, which serve both as examples of SCIP's application as a research tool and as a platform for further developments. Further, the paper gives an overview of interfaces to other programming and modeling languages, new features that expand the possibilities for user interaction with the framework, and the latest developments in several extensions built upon SCIP.<br />Comment: arXiv admin note: substantial text overlap with arXiv:2112.08872

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....0bd5c9e342b1941bc8fbee52a9a846c2
Full Text :
https://doi.org/10.48550/arxiv.2303.07101