Subexponential algorithm for d-cluster edge deletion: Exception or rule?

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We study the question of finding a set of at most k edges, whose removal makes the input n-vertex graph a disjoint union of s-clubs (graphs of diameter s). Komusiewicz and Uhlmann [DAM 2012] showed that Cluster Edge Deletion (i.e., for the case of 1-clubs (cliques)), cannot be solved in time 2o(k)nO(1) unless the Exponential Time Hypothesis (ETH) fails. But, Fomin et al. [JCSS 2014] showed that if the number of cliques in the output graph is restricted to d, then the problem (d-Cluster Edge Deletion) can be solved in time O(2O(dk)+m+n). We show that assuming ETH, there is no algorithm solving 2-Club Cluster Edge Deletion in time 2o(k)nO(1). Further, we show that the same lower bound holds in the case of s-Club d-Cluster Edge Deletion for any s≥2 and d≥2.

论文关键词:Parameterized subexponential time algorithms,s-Clubs,Cluster edge deletion,ETH-hardness

论文评审过程:Received 4 October 2016, Revised 11 May 2020, Accepted 18 May 2020, Available online 27 May 2020, Version of Record 29 May 2020.

论文官网地址:https://doi.org/10.1016/j.jcss.2020.05.008