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Sparsest Cut in Planar Graphs, Maximum Concurrent Flows and Their Connections with the Max-Cut Problem

机译:最稀释在平面图中,最大并发流动及其与最大剪切问题的连接

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We study the sparsest cut problem when the "capacity-demand" graph is planar, and give a combinatorial algorithm. In this type of graphs there is an edge for each positive capacity and also an edge for each positive demand. We extend this result to graphs with no K_5 minor. We also show how to find a maximum concurrent flow in these two cases. We use ideas that had been developed for the max-cut problem, and show how to exploit the connections among these problems.
机译:当“容量需求”图是平面的时,我们研究了稀疏性的剪切问题,并提供了组合算法。在这种类型的图表中,每个正容量存在边缘,并且每个正面需求也是边缘。我们将此结果扩展到没有k_5 minor的图表。我们还展示了如何在这两种情况下找到最大并发流。我们使用已为最大剪切问题开发的想法,并展示如何利用这些问题之间的连接。

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