A local search 4/3-approximation algorithm for the minimum 3-path partition problem

Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, Bing Su, Weitian Tong, Yao Xu, An Zhang

Research output: Contribution to book or proceedingConference articlepeer-review

8 Scopus citations

Abstract

Given a graph G = V,E, the 3-path partition problem is to find a minimum collection of vertex-disjoint paths each of order at most 3 to cover all the vertices of V. It is different from but closely related to the well-known 3-set cover problem. The best known approximation algorithm for the 3-path partition problem was proposed recently and has a ratio 13/9. Here we present a local search algorithm and show, by an amortized analysis, that it is a 4/3-approximation. This ratio matches up to the best approximation ratio for the 3-set cover problem.

Original languageEnglish
Title of host publicationFrontiers in Algorithmics - 13th International Workshop, FAW 2019, Proceedings
EditorsYijia Chen, Mei Lu, Xiaotie Deng
PublisherSpringer Verlag
Pages14-25
Number of pages12
ISBN (Print)9783030181253
DOIs
StatePublished - 2019
Event13th International Workshop on Frontiers in Algorithmics, FAW 2019 - Sanya, China
Duration: Apr 29 2019May 3 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11458 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Workshop on Frontiers in Algorithmics, FAW 2019
Country/TerritoryChina
CitySanya
Period04/29/1905/3/19

Keywords

  • Amortized analysis
  • Approximation algorithms
  • K-path partition
  • K-set cover
  • Local search
  • Path cover

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