Quasi-polynomial time approximation schemes for the Maximum Weight Independent Set Problem in H-free graphs
Quasi-polynomial time approximation schemes for the Maximum Weight Independent Set Problem in H-free graphs
复制标题
无H图中最大权独立集问题的拟多项式时间逼近方案
DOI:
10.1137/1.9781611975994.139
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
and Thomasse, Stephan.
中科院分区:
文献类型:
--
作者:
Chudnovsky, Maria.;Pillipczuk, Marcin.;Pillipczuk, Mihal;and Thomasse, Stephan.
In the MaximumIndependentSetproblem we are asked to find a set of pairwise nonadjacent vertices in a given graph with the maximum possible cardinality. In general graphs, this classical problem is known to be NP-hard and hard to approximate within a factor ofn1−εfor anyε> 0. Due to this, investigating the complexity of MaximumIndependentSetin various graph classes in hope of finding better tractability results is an active research direction.InH-free graphs, that is, graphs not containing a fixed graphHas an induced subgraph, the problem is known to remain NP-hard and APX-hard wheneverHcontains a cycle, a vertex of degree at least four, or two vertices of degree at least three in one connected component. For the remaining cases, where every component ofHis a path or a subdivided claw, the complexity of MaximumIndependentSetremains widely open, with only a handful of polynomial-time solvability results for small graphsHsuch asP5,P6, the claw, or the fork.We prove that for every such “possibly tractable” graphHthere exists an algorithm that, given anH-free graphGand an accuracy parameterε> 0, finds an independent set inGof cardinality within a factor of (1 –ε) of the optimum in time exponential in a polynomial of log |V(G) | andε−1. That is, we show that for every graphHfor which MaximumIndependentSetis not known to be APX-hard inH-free graphs, the problem admits a quasi-polynomial time approximation scheme in this graph class. Our algorithm works also in the more general weighted setting, where the input graph is supplied with a weight function on vertices and we are maximizing the total weight of an independent set.
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DOI:
--
发表时间:
2008
期刊:
Conference on Integer Programming and Combinatorial Optimization
影响因子:
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作者:
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1998
期刊:
Conference on Integer Programming and Combinatorial Optimization
影响因子:
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DOI:
10.1137/1.9781611975482.77
发表时间:
2017
期刊:
ACM Transactions on Algorithms (TALG)
影响因子:
--
作者:
Andrzej Grzesik;Tereza Klimošová;Marcin Pilipczuk;Michal Pilipczuk
通讯作者:
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