Maximum induced matchings of random cubic graphs

W. Duckworth, N. C. Wormald, M. Zito

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10 Citations (Scopus)

Abstract

We present a heuristic for finding a large induced matching of cubic graphs. We analyse the performance of this heuristic, which is a random greedy algorithm, on random cubic graphs using differential equations and obtain a lower bound on the expected size of the induced matching. M, returned by the algorithm. A corresponding upper bound is derived by means of a direct expectation argument. We prove that M asymptotically almost surely satisfies 0.270413n ≤ M ≤ 0.282069n.

Original languageEnglish
Pages (from-to)39-50
Number of pages12
JournalJournal of Computational and Applied Mathematics
Volume142
Issue number1
DOIs
Publication statusPublished - 1 May 2002
Externally publishedYes

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