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

Werner E. Helm () and Jan-Erik Justkowiak ()
Additional contact information
Werner E. Helm: Stat + OR, FB MN, Hochschule Darmstadt
Jan-Erik Justkowiak: FB MN, Hochschule Darmstadt

A chapter in Operations Research Proceedings 2016, 2018, pp 607-613 from Springer

Abstract: 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.

Keywords: Mittelmann; Gurobi (GRB); Infeasibility Detection; Advanced Analytical Platforms; Mixed Integer Linear Programming (MILP) (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-55702-1_80

Ordering information: This item can be ordered from
http://www.springer.com/9783319557021

DOI: 10.1007/978-3-319-55702-1_80

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().