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A least-squares minimum-cost network flow algorithm

delete2011-03-09
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PRE
AI
S
Seung-Hyun Kong *
J
Joel Sokol
DOI:10.1007/s10479-011-0858-7delete
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Abstract

Abstract

En 中文
Node-arc incidence matrices in network flow problems exhibit several special least-squares properties. We show how these properties can be leveraged in a least-squares primal-dual algorithm for solving minimum-cost network flow problems quickly. Computational results show that the performance of an upper-bounded version of the least-squares minimum-cost network flow algorithm with a special dual update operation is comparable to CPLEX Network and Dual Optimizers for solving a wide range of minimum-cost network flow problems.
Keywords:
Network flow
Least-squares
Primal-dual

Journal

Annals of Operations Research cover
Annals of Operations Research
IF:
4.5
Papers:
8.0K
Citations:
2.1W

Organization

G
Georgia Institute of Technology
Scholars:
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Papers: 1.4W
Citations: 5.9W
S
sas institute inc
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447
Papers: 244
Citations: 0
U
university system of georgia
Scholars:
7.3W
Papers: 6.5W
Citations: 101
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