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Bottleneck flows in unit capacity networks
Authors:Abraham P Punnen  Ruonan Zhang
Affiliation:Department of Mathematics, Simon Fraser University Surrey, Central City, 250-13450 102nd AV, Surrey, British Columbia, V3T 0A3, Canada
Abstract:The bottleneck network flow problem (BNFP) is a generalization of several well-studied bottleneck problems such as the bottleneck transportation problem (BTP), bottleneck assignment problem (BAP), bottleneck path problem (BPP), and so on. The BNFP can easily be solved as a sequence of O(logn) maximum flow problems on almost unit capacity networks. We observe that this algorithm runs in O(min{m3/2,n2/3m}logn) time by showing that the maximum flow problem on an almost unit capacity graph can be solved in O(min{m3/2,n2/3m}) time. We then propose a faster algorithm to solve the unit capacity BNFP in View the MathML source time, an improvement by a factor of at least View the MathML source. For dense graphs, the improvement is by a factor of View the MathML source. On unit capacity simple graphs, we show that BNFP can be solved in View the MathML source time, an improvement by a factor of View the MathML source. As a consequence we have an View the MathML source algorithm for the BTP with unit arc capacities.
Keywords:Algorithms  Combinatorial problems  Graphs  Network flows  Minimum cost flow  Unit capacity
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