Parameterized and Approximation Algorithms for Finding Two Disjoint Matchings

Zhi-Zhong Chen, Ying Fan, Lusheng Wang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Citation (Scopus)

Abstract

We first present a fixed-parameter algorithm for the NP-hard problem of deciding if there are two matchings M1 and M2 in a given graph G such that |M1| + |M2| is no less than a given number k. The algorithm runs in O (m + k · k! · (2√2)k · n2 log n) time, where n (respectively, m) is the number of vertices (respectively, edges) in G. We then present a combinatorial approximation algorithm for the NP-hard problem of finding two disjoint matchings in a given edge-weighted graph G so that their total weight is maximized. The algorithm achieves an approximation ratio of roughly 0.76 and runs in O (m + n3 α(n)) time, where α is the inverse Ackermann function.
Original languageEnglish
Title of host publicationCombinatorial Optimization and Applications
Subtitle of host publication7th International Conference, COCOA 2013, Proceedings
EditorsPeter Widmayer, Yinfeng Xu, Binhai Zhu
PublisherSpringer Verlag
Pages1-12
ISBN (Print)9783319037790
DOIs
Publication statusPublished - Dec 2013
Event7th International Conference on Combinatorial Optimization and Applications (COCOA 2013) - Chengdu, China
Duration: 12 Dec 201314 Dec 2013
http://webdocs.cs.ualberta.ca/~ghlin/COCOA2013/

Publication series

NameLecture Notes in Computer Science
Volume8287
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Combinatorial Optimization and Applications (COCOA 2013)
Country/TerritoryChina
CityChengdu
Period12/12/1314/12/13
Internet address

Research Keywords

  • Approximation algorithms
  • Fixed-parameter algorithms
  • Graph algorithms
  • Matchings
  • NP-hardness

Fingerprint

Dive into the research topics of 'Parameterized and Approximation Algorithms for Finding Two Disjoint Matchings'. Together they form a unique fingerprint.

Cite this