A Fast Simplex Algorithm for Linear Programming

A Fast Simplex Algorithm for Linear Programming

Year:    2010

Journal of Computational Mathematics, Vol. 28 (2010), Iss. 6 : pp. 837–847

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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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

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

Journal of Computational Mathematics, Vol. 28 (2010), Iss. 6 : pp. 837–847

Published online:    2010-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    11

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

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