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Efficient Algorithm for Computing All Low s-t Edge Connectivities in Directed Graphs

机译:计算有向图中所有低s-t边缘连通性的高效算法

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Given a directed graph with n nodes and m edges, the (strong) edge connectivity λ(u, v) between two nodes u and v is the minimum number of edges whose deletion makes u and v not strongly connected. The problem of computing the edge connectivities between all pairs of nodes of a directed graph can be done in O(m~ω) time by Cheung, Lau and Leung (FOCS 2011), where ω is the matrix multiplication factor (≈ 2.373), or in (O)(mn~(1.5)) time using O(n) computations of max-fiows by Cheng and Hu (IPCO 1990). We consider in this paper the "low edge connectivity" problem, which aims at computing the edge connectivities for the pairs of nodes (u,v) such that λ(u, v) ≤ k. While the undirected version of this problem was considered by Hariharan, Kavitha and Panigrahi (SODA 2007), who presented an algorithm with expected running time (O)(m + nk~3), no algorithm better than computing all-pairs edge connectivities was proposed for directed graphs. We provide an algorithm that computes all low edge connectivities in O(kmn) time, improving the previous best result of O(min(m~ω, mn~(1.5))) when k ≤ n~(1/2). Our algorithm also computes a minimum u-v cut for each pair of nodes (u, v) with λ(u,v) ≤ k.
机译:给定具有n个节点和m个边的有向图,两个节点u和v之间的(强)边缘连通性λ(u,v)是其删除使得u和v没有牢固连接的最小边数。计算有向图的所有节点对之间的边缘连通性的问题可以由Cheung,Lau和Leung(FOCS 2011)在O(m〜ω)时间内完成,其中ω是矩阵乘法因子(≈2.373),或在(O)(mn〜(1.5))时间内使用Cheng和Hu(IPCO 1990)计算最大流量的O(n)。我们在本文中考虑“低边缘连通性”问题,该问题旨在计算节点对(u,v)的边缘连通性,使得λ(u,v)≤k。尽管Hariharan,Kavitha和Panigrahi(SODA 2007)考虑了该问题的无向版本,他们提出了一种具有预期运行时间(O)(m + nk〜3)的算法,但没有比计算所有成对边缘连通性更好的算法了。建议用于有向图。我们提供了一种算法,可以在O(kmn)的时间内计算所有低边连接性,从而提高了当k≤n〜(1/2)时O(min(m〜ω,mn〜(1.5)))的最佳结果。我们的算法还为λ(u,v)≤k的每对节点(u,v)计算最小的u-v切割。

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