Parameterized approximations via d-skew-symmetric multicut

Sudeshna Kolay, Pranabendu Misra, M. S. Ramanujan, Saket Saurabh

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

4 Scopus citations

Abstract

In this paper we design polynomial time approximation algorithms for several parameterized problems such as Odd Cycle Transversal, Almost 2-SAT, Above Guarantee Vertex Cover and Deletion q-Horn Backdoor Set Detection. Our algorithm proceeds by first reducing the given instance to an instance of the d-Skew-Symmetric Multicut problem, and then computing an approximate solution to this instance. Our algorithm runs in polynomial time and returns a solution whose size is bounded quadratically in the parameter, which in this case is the solution size, thus making it useful as a first step in the design of kernelization algorithms. Our algorithm relies on the properties of a combinatorial object called (L,k)-set, which builds on the notion of (L,k)-components, defined by a subset of the authors to design a linear time FPT algorithm for Odd Cycle Transversal. The main motivation behind the introduction of this object in their work was to replicate in skew-symmetric graphs, the properties of important separators introduced by Marx [2006] which has played a very significant role in several recent parameterized tractability results. Combined with the algorithm of Reed, Smith and Vetta, our algorithm also gives an alternate linear time algorithm for Odd Cycle Transversal. Furthermore, our algorithm significantly improves upon the running time of the earlier parameterized approximation algorithm for Deletion q-Horn Backdoor Set Detection which had an exponential dependence on the parameter; albeit at a small cost in the approximation ratio.

Original languageEnglish
Title of host publicationMathematical Foundations of Computer Science 2014 - 39th International Symposium, MFCS 2014, Proceedings
PublisherSpringer Verlag
Pages457-468
Number of pages12
EditionPART 2
ISBN (Print)9783662444641
DOIs
StatePublished - 1 Jan 2014
Externally publishedYes
Event39th International Symposium on Mathematical Foundations of Computer Science, MFCS 2014 - Budapest, Hungary
Duration: 25 Aug 201429 Aug 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8635 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference39th International Symposium on Mathematical Foundations of Computer Science, MFCS 2014
Country/TerritoryHungary
CityBudapest
Period25/08/1429/08/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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