1997
DOI: 10.1080/02331939708844306
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Inverse maximum flow and minimum cut problems

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Cited by 73 publications
(33 citation statements)
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“…This problem is studied by Yang, Zhang, and Ma [32]. Using the maximum flow minimum cut duality, they transform the problem into a minimum cost flow problem on an auxiliary digraph with at most 3 |A| arcs.…”
Section: Maximum Flowmentioning
confidence: 99%
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“…This problem is studied by Yang, Zhang, and Ma [32]. Using the maximum flow minimum cut duality, they transform the problem into a minimum cost flow problem on an auxiliary digraph with at most 3 |A| arcs.…”
Section: Maximum Flowmentioning
confidence: 99%
“…Section 3.1.1). The constrained case leads to a minimum cost flow problem in an auxiliary network with at most 2 |A| edges (Yang, Zhang, and Ma [32]). The sign constrained case under weighted l 1 norm can also be reduced to a minimum cost flow problem (Ahuja and Orlin [2]).…”
Section: Minimum Cutmentioning
confidence: 99%
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“…An inverse combinatorial optimization problem consists of modifying some parameters of a network such as capacities or costs, so that a given feasible solution of the direct optimization problem becomes an optimal solution and the distance between the initial vector and the modified vector of parameters is minimum. The inverse maximum flow problem, which is related to the inverse minimum flow problem, has been studied by Yang et al [16]. Strongly polynomial algorithms to solve the inverse maximum flow were presented.…”
Section: Introductionmentioning
confidence: 99%
“…In [16], only the upper bounds for the flow are changed as little as possible in order to make a given feasible flow become a maximum flow.…”
Section: Introductionmentioning
confidence: 99%