A (1.4 + ϵ) -approximation algorithm for the 2-Max-Duo problem

Yong Chen, Guohui Lin, Tian Liu, Taibo Luo, Bing Su, Yao Xu, Peng Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

The maximum duo-preservation string mapping (Max-Duo) problem is the complement of the well studied minimum common string partition problem, both of which have applications in many fields including text compression and bioinformatics. k-Max-Duo is the restricted version of Max-Duo, where every letter of the alphabet occurs at most k times in each of the strings, which is readily reduced into the well known maximum independent set (MIS) problem on a graph of maximum degree Δ ≤ 6 (k- 1). In particular, 2-Max-Duo can then be approximated arbitrarily close to 1.8 using the state-of-the-art approximation algorithm for the MIS problem on bounded-degree graphs. 2-Max-Duo was proved APX-hard and very recently a (1.6 + ϵ) -approximation algorithm was claimed, for any ϵ' 0. In this paper, we present a vertex-degree reduction technique, based on which, we show that 2-Max-Duo can be approximated arbitrarily close to 1.4.

Original languageEnglish
Pages (from-to)806-824
Number of pages19
JournalJournal of Combinatorial Optimization
Volume40
Issue number3
DOIs
StatePublished - Oct 1 2020

Scopus Subject Areas

  • Computer Science Applications
  • Discrete Mathematics and Combinatorics
  • Control and Optimization
  • Computational Theory and Mathematics
  • Applied Mathematics

Keywords

  • Approximation algorithm
  • Duo-preservation string mapping
  • Independent set
  • String partition

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