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Minimum Cuts and Shortest Cycles in Directed Planar Graphs via Noncrossing Shortest Paths

机译:定向平面图中的最小切削和最短循环   非交叉最短路径

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摘要

Let $G$ be an $n$-node simple directed planar graph with nonnegative edgeweights. We study the fundamental problems of computing (1) a global cut of $G$with minimum weight and (2) a~cycle of $G$ with minimum weight. The bestpreviously known algorithm for the former problem, running in $O(n\log^3 n)$time, can be obtained from the algorithm of \Lacki, Nussbaum, Sankowski, andWulff-Nilsen for single-source all-sinks maximum flows. The best previouslyknown result for the latter problem is the $O(n\log^3 n)$-time algorithm ofWulff-Nilsen. By exploiting duality between the two problems in planar graphs,we solve both problems in $O(n\log n\log\log n)$ time via a divide-and-conqueralgorithm that finds a shortest non-degenerate cycle. The kernel of our resultis an $O(n\log\log n)$-time algorithm for computing noncrossing shortest pathsamong nodes well ordered on a common face of a directed plane graph, which isextended from the algorithm of Italiano, Nussbaum, Sankowski, and Wulff-Nilsenfor an undirected plane graph.
机译:令$ G $是具有非负边权的$ n $节点简单有向平面图。我们研究了计算的基本问题(1)最小权重的$ G $的全局削减和(2)最小权重的$ G $的一个循环。可以从\ Lacki,Nussbaum,Sankowski和Wulff-Nilsen的算法获得单源全宿最大流量的,运行时间为$ O(n \ log ^ 3 n)$ time的前一个问题的最佳已知算法。 。对于后一个问题,最好的已知结果是Wulff-Nilsen的$ O(n \ log ^ 3 n)$时间算法。通过利用平面图中两个问题之间的对偶性,我们通过寻找最短的非简并循环的分治法在$ O(n \ log n \ log \ log n)$时间内解决了这两个问题。结果的核心是$ O(n \ log \ log n)$时间算法,用于计算在有向平面图的公共面上排列有序的节点之间的非交叉最短路径,该算法从Italiano,Nussbaum,Sankowski,和Wulff-Nilsen用于无向平面图。

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