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

Source
Journal of Computer and System Sciences
ISSN
00220000
Date Issued
2020-11-01
Author(s)
Misra, Neeldhara  
Panolan, Fahad
Saurabh, Saket
DOI
10.1016/j.jcss.2020.05.008
Volume
113
Abstract
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 2<sup>o(k)</sup>n<sup>O(1)</sup> 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(2<sup>O(dk)</sup>+m+n). We show that assuming ETH, there is no algorithm solving 2-CLUB CLUSTER EDGE DELETION in time 2<sup>o(k)</sup>n<sup>O(1)</sup>. 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.
Unpaywall
URI
http://repository.iitgn.ac.in/handle/IITG2025/23947
Subjects
Cluster edge deletion | ETH-hardness | Parameterized subexponential time algorithms | s-Clubs
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