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Minimum Augmentation of Edge-Connectivity between Vertices and Sets of Vertices in Undirected Graphs

机译:无向图中顶点和顶点集之间的边缘连接性的最小增强

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摘要

Given an undirected multigraph G=(V,E), a family of areas W⊆V, and a target connectivity k≥1, we consider the problem of augmenting G by the smallest number of new edges so that the resulting graph has at least k edge-disjoint paths between v and W for every pair of a vertex v∈V and an area . So far this problem was shown to be NP-complete in the case of k=1 and polynomially solvable in the case of k=2. In this paper, we show that the problem for k≥3 can be solved in O(m+n(k 3+n 2)(p+kn+nlog n)log k+pkn 3log (n/k)) time, where n=|V|, m=|{{u,v}|(u,v)∈E}|, and . Keywords Undirected graph - Connectivity augmentation problem - Edge-connectivity - Node-to-area connectivity - Polynomial time deterministic algorithm - Edge-splitting An extended abstract of this paper was presented at 9th Computing: The Australasian Theory Symposium (CATS 2003), Australia, February 2003.
机译:给定无向多重图G =(V,E),区域W⊆V和目标连通性k≥1,我们考虑了用最少数量的新边来增加G的问题,从而使所得图至少具有对于每对顶点v∈V和面积,在v和W之间有k条不相交的路径。到目前为止,该问题在k = 1的情况下被证明是NP完全的,而在k = 2的情况下可以被多项式解。在本文中,我们证明k≥3的问题可以通过O(m + n(k 3 + n 2 )(p + kn + nlog n )log k + pkn 3 log(n / k))时间,其中n = | V |,m = | {{{u,v} |(u,v)∈E} |,和。关键词无向图-连通性增加问题-边缘连通性-节点到区域的连通性-多项式时间确定性算法-边缘分裂本文在9th Computing:澳大利亚理论研讨会(CATS 2003)上发表了本文的扩展摘要, 2003年2月。

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