Constant ratio fixed-parameter approximation of the edge multicut problem

Dániel Marx, Igor Razgon

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

The input of the Edge Multicut problem consists of an undirected graph G and pairs of terminals {s1, t1}, ..., {sm, tm}; the task is to remove a minimum set of edges such that si and ti are disconnected for every 1 ≤ i ≤ m. The parameterized complexity of the problem, parameterized by the maximum number k of edges that are allowed to be removed, is currently open. The main result of the paper is a parameterized 2-approximation algorithm: in time f (k) ṡ nO (1), we can either find a solution of size 2k or correctly conclude that there is no solution of size k. The proposed algorithm is based on a transformation of the Edge Multicut problem into a variant of the parameterized Max-2SAT problem, where the parameter is related to the number of clauses that are not satisfied. It follows from previous results that the latter problem can be 2-approximated in a fixed-parameter time; on the other hand, we show here that it is W[1]-hard. Thus the additional contribution of the present paper is introducing the first natural W[1]-hard problem that is constant-ratio fixed-parameter approximable.

Original languageEnglish
Pages (from-to)1161-1166
Number of pages6
JournalInformation Processing Letters
Volume109
Issue number20
DOIs
StatePublished - 30 Sep 2009
Externally publishedYes

Keywords

  • Fixed-parameter algorithms
  • Graph algorithms
  • Multicut
  • Parameterized approximation
  • Satisfiability problems

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Signal Processing
  • Information Systems
  • Computer Science Applications

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