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Approximation algorithms for hitting subgraphs
arXiv - CS - Data Structures and Algorithms Pub Date : 2020-11-29 , DOI: arxiv-2011.14450 Noah Brüstle, Tal Elbaz, Hamed Hatami, Onur Kocer, Bingchan Ma
arXiv - CS - Data Structures and Algorithms Pub Date : 2020-11-29 , DOI: arxiv-2011.14450 Noah Brüstle, Tal Elbaz, Hamed Hatami, Onur Kocer, Bingchan Ma
Let $H$ be a fixed undirected graph on $k$ vertices. The $H$-hitting set
problem asks for deleting a minimum number of vertices from a given graph $G$
in such a way that the resulting graph has no copies of $H$ as a subgraph. This
problem is a special case of the hypergraph vertex cover problem on $k$-uniform
hypergraphs, and thus admits an efficient $k$-factor approximation algorithm.
The purpose of this article is to investigate the question that for which
graphs $H$ this trivial approximation factor $k$ can be improved.
中文翻译:
命中子图的近似算法
假设$ H $是$ k $顶点上的固定无向图。$ H $命中集问题要求以给定图$ G $删除最小数量的顶点的方式,使所得图没有$ H $副本作为子图。此问题是$ k $一致超图上的超图顶点覆盖问题的特例,因此可以采用有效的$ k $因子近似算法。本文的目的是研究以下问题:对于平凡的逼近因子$ k $,可以为哪些图形$ H $进行改进。
更新日期:2020-12-01
中文翻译:
命中子图的近似算法
假设$ H $是$ k $顶点上的固定无向图。$ H $命中集问题要求以给定图$ G $删除最小数量的顶点的方式,使所得图没有$ H $副本作为子图。此问题是$ k $一致超图上的超图顶点覆盖问题的特例,因此可以采用有效的$ k $因子近似算法。本文的目的是研究以下问题:对于平凡的逼近因子$ k $,可以为哪些图形$ H $进行改进。