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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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摘要

摘要

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.
Keyword:
Network flow
Least-squares
Primal-dual

期刊

Annals of Operations Research 封面图
Annals of Operations Research
IF:
4.5
论文数:
8.1K
被引数:
2.1W

机构

G
Georgia Institute of Technology
学者数:
1.8W
论文数: 1.4W
被引数: 5.9W
S
sas institute inc
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447
论文数: 244
被引数: 0
U
university system of georgia
学者数:
7.3W
论文数: 6.6W
被引数: 101
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