An improved approximation algorithm for the minimum common integer partition problem

Weitian Tong, Guohui Lin

Research output: Contribution to book or proceedingChapterpeer-review

3 Scopus citations

Abstract

Given a collection of multisets {X1,X2,..., Xk} (k ≥ 2) of positive integers, a multiset S is a common integer partition for them if S is an integer partition of every multiset Xi, 1 ≤ i ≤ k. The minimum common integer partition (k-MCIP) problem is defined as to find a CIP for {X1,X2,..., Xk} with the minimum cardinality. We present a 6/5 -approximation algorithm for the 2-MCIP problem, improving the previous best algorithm of ratio 5/4 designed in 2006. We then extend it to obtain an absolute 0.6k-approximation algorithm for k-MCIP when k is even (when k is odd, the approximation ratio is 0.6k + 0.4).

Original languageEnglish
Title of host publicationAlgorithms and Computation - 25th International Symposium, ISAAC 2014, Proceedings
EditorsHee-Kap Ahn, Chan-Su Shin
PublisherSpringer Verlag
Pages353-364
Number of pages12
ISBN (Electronic)9783319130743
DOIs
StatePublished - 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8889
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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