A Fast Simplex Algorithm for Linear Programming

Authors

  • Pingqi Pan

DOI:

https://doi.org/10.4208/jcm.3105-m2897

Keywords:

Large-scale linear programming, Simplex algorithm, Pivot rule, Nested, Largest-distance, Scaling.

Abstract

Recently, computational results demonstrated remarkable superiority of a so-called "largest-distance" rule and "nested pricing" rule to other major rules commonly used in practice, such as Dantzig's original rule, the steepest-edge rule and Devex rule. Our computational experiments show that the simplex algorithm using a combination of these rules turned out to be even more efficient.

Published

2021-07-01

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Section

Articles

How to Cite

A Fast Simplex Algorithm for Linear Programming. (2021). Journal of Computational Mathematics, 28(6), 837-847. https://doi.org/10.4208/jcm.3105-m2897