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Maximum induced matchings of random cubic graphs

  • William Duckworth
  • , Nicholas C. Wormald
  • , Michele Zito

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

In this paper we present a heuristic for nding a large induced matching M of cubic graphs. We analyse the performance of this heuristic, which is a random greedy algorithm, on random cubic graphs using dierential equations and obtain a lower bound on the expected size of the induced matching returned by the algorithm. The corresponding upper bound is derived by means of a direct expectation argument. We prove that M asymptotically almost surely satises 0: 2704n ≤|M|≤ 0: 2821n.

Original languageEnglish
Title of host publicationComputing and Combinatorics - 6th Annual International Conference, COCOON 2000, Proceedings
PublisherSpringer-Verlag London Ltd.
Pages34-43
Number of pages10
Volume1858
ISBN (Print)3540677879, 9783540677871
Publication statusPublished - 2000
Externally publishedYes
Event6th Annual International Conference on Computing and Combinatorics, COCOON 2000 - Sydney, Australia
Duration: 26 Jul 200028 Jul 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1858
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Annual International Conference on Computing and Combinatorics, COCOON 2000
Country/TerritoryAustralia
CitySydney
Period26/07/0028/07/00

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