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A least-squares minimum-cost network flow algorithm
DOI:10.1007/s10479-011-0858-7.png)
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
IF:
4.5
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8.0K
Citations:
2.1W

