A Fast Simplex Algorithm for Linear Programming
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.
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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