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Extension of Mittelmann’s Benchmarks: Comparing the Solvers of SAS and Gurobi

In: Operations Research Proceedings 2016

Author

Listed:
  • Werner E. Helm

    (Stat + OR, FB MN, Hochschule Darmstadt)

  • Jan-Erik Justkowiak

    (FB MN, Hochschule Darmstadt)

Abstract

SAS Institute has long been recognized by Gartner (most recently in 2016, see Kart et al. Magic Quadrant for Advanced Analytics Platforms (09 February 2016|ID:G00275788), [1]) as leader in the magic quadrant for Advanced Analytics Platforms. Bundled in SAS/OR are the Institute’s offerings for solving a broad range of OR-problems on various software platforms. We present what appears to be the first independent benchmarking of SAS Institute’s OR-solvers. In the present paper we concentrate on the problem classes LP, MILP, Network and Infeasibility Detection.

Suggested Citation

  • Werner E. Helm & Jan-Erik Justkowiak, 2018. "Extension of Mittelmann’s Benchmarks: Comparing the Solvers of SAS and Gurobi," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 607-613, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-55702-1_80
    DOI: 10.1007/978-3-319-55702-1_80
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