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Maximum matchings in sparse random graphs: Karp–Sipser revisited

✍ Scribed by Jonathan Aronson; Alan Frieze; Boris G. Pittel


Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
490 KB
Volume
12
Category
Article
ISSN
1042-9832

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✦ Synopsis


We study the average performance of a simple greedy algorithm for finding a matching in a sparse random graph G , where c ) 0 is constant. The algorithm was first n, c r n w proposed by Karp and Sipser Proceedings of the Twenty-Second Annual IEEE Symposium on

x Foundations of Computing, 1981, pp. 364᎐375 . We give significantly improved estimates of the errors made by the algorithm. For the subcritical case where ce we show that the algorithm finds a maximum matching with high probability. If c ) e then with high probability the algorithm produces a matching which is within n 1r5qoŽ1. of maximum size.