Enabling Research through the SCIP Optimization Suite 8.0
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.
Cite
@article{arxiv.2303.07101,
title = {Enabling Research through the SCIP Optimization Suite 8.0},
author = {Ksenia Bestuzheva and Mathieu Besançon and Wei-Kun Chen and Antonia Chmiela and Tim Donkiewicz and Jasper van Doornmalen and Leon Eifler and Oliver Gaul and Gerald Gamrath and Ambros Gleixner and Leona Gottwald and Christoph Graczyk and Katrin Halbig and Alexander Hoen and Christopher Hojny and Rolf van der Hulst and Thorsten Koch and Marco Lübbecke and Stephen J. Maher and Frederic Matter and Erik Mühmer and Benjamin Müller and Marc E. Pfetsch and Daniel Rehfeldt and Steffan Schlein and Franziska Schlösser and Felipe Serrano and Yuji Shinano and Boro Sofranac and Mark Turner and Stefan Vigerske and Fabian Wegscheider and Philipp Wellner and Dieter Weninger and Jakob Witzig},
journal= {arXiv preprint arXiv:2303.07101},
year = {2023}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2112.08872