On the parameterized complexity of clique elimination distance

Akanksha Agrawal, M. S. Ramanujan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Bulian and Dawar [Algorithmica, 2016] introduced the notion of elimination distance in an effort to define new tractable parameterizations for graph problems and showed that deciding whether a given graph has elimination distance at most k to any minor-closed class of graphs is fixed-parameter tractable parameterized by k [Algorithmica, 2017]. In this paper, we consider the problem of computing the elimination distance of a given graph to the class of cluster graphs and initiate the study of the parameterized complexity of a more general version – that of obtaining a modulator to such graphs. That is, we study the (η, Clq)-Elimination Deletion problem ((η, Clq)-ED Deletion) where, for a fixed η, one is given a graph G and k ∈ N and the objective is to determine whether there is a set S ⊆ V (G) such that the graph G − S has elimination distance at most η to the class of cluster graphs. Our main result is a polynomial kernelization (parameterized by k) for this problem. As components in the proof of our main result, we develop a kO(ηk+η2)nO(1)-time fixed-parameter algorithm for (η, Clq)-ED Deletion and a polynomial-time factor-min{O(η · opt · log2 n), optO(1)} approximation algorithm for the same problem.

Original languageEnglish
Title of host publication15th International Symposium on Parameterized and Exact Computation, IPEC 2020
EditorsYixin Cao, Marcin Pilipczuk
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959771726
DOIs
StatePublished - 1 Dec 2020
Externally publishedYes
Event15th International Symposium on Parameterized and Exact Computation, IPEC 2020 - Virtual, Hong Kong, China
Duration: 14 Dec 202018 Dec 2020

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume180
ISSN (Print)1868-8969

Conference

Conference15th International Symposium on Parameterized and Exact Computation, IPEC 2020
Country/TerritoryChina
CityVirtual, Hong Kong
Period14/12/2018/12/20

Keywords

  • Cluster Graphs
  • Elimination Distance
  • Kernelization

ASJC Scopus subject areas

  • Software

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