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Location Problems Based on Node-Connectivity and Edge-Connectivity between Nodes and Node-Subsets

机译:基于节点与节点子集之间的节点连接性和边缘连接性的位置问题

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Let G = (V, E) be an undirected multi-graph where V and E are a set of nodes and a set of edges, respectively. Let k and l be fixed nonnegative integers. This paper considers location problems of finding a minimum size of node-subset S is contaioed in V such that node-connectivity between S and x is greater than or equal to k and edge-connectivity between S and x is greater than or equal to l for every x∈V. This problem has important applications for multi-media network control and design. For a problem of considering only edge-connectivity, i.e., k = 0, an 0(L(|V|, |E|, l)) = O(|E| + |V|~2 + |V|min{|E|, l|V|}min{l, |V|}) time algorithm was already known, where L(| V|, |E|, l) is a time to find all h-edge-connected components for h = 1,2,... ,l. This paper presents an O(L(|V|, |E|, l)) time algorithm for 0 ≤ k ≤ 2 and l ≥ 0. It also shows that if k ≥ 3, the problem is NP-hard even for l = 0. Moreover, it shows that if the size of S is regarded as a parameter, the parameterized problem for k = 3 and l ≤ 1 is FPT (fixed parameter tractable).
机译:令G =(V,E)是无向多图,其中V和E分别是一组节点和一组边。令k和l为固定的非负整数。本文考虑了以下问题:确定节点子集S的最小大小在V中受到污染的位置问题,以使S与x之间的节点连接性大于或等于k且S与x之间的边缘连接性大于或等于l对于每个x∈V。该问题在多媒体网络控制和设计中具有重要的应用。对于仅考虑边缘连接性的问题,即k = 0,则0(L(| V |,| E |,l))= O(| E | + | V |〜2 + | V | min { | E |,l | V |} min {l,| V |})时间算法是已知的,其中L(| V |,| E |,l)是查找所有h-edge-connected分量的时间。 h = 1,2,...,l。本文提出了一种O(L(| V |,| E |,l))时间算法,其中0≤k≤2且l≥0。它还表明,如果k≥3,即使对于l,问题也是NP-难的。 =0。此外,它表明,如果将S的大小作为参数,则k = 3且l≤1的参数化问题为FPT(固定参数易处理)。

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