Abstract

A new algorithm for finding a maximum matching in a general graph is presented; its special feature being that the only computationally non-trivial step required in its execution is the inversion of a single integer matrix. Since this step can be parallelized, we get a simple parallel (RNC2) algorithm. At the heart of our algorithm lies a probabilistic lemma, the isolating lemma. We show applications of this lemma to parallel computation and randomized reductions.

Keywords

Inversion (geology)CitationComputer scienceMatching (statistics)Matrix (chemical analysis)Library scienceInformation retrievalMathematicsGeology

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Publication Info

Year
1987
Type
article
Pages
345-354
Citations
617
Access
Closed

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617
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81
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95
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Cite This

Ketan Mulmuley, Umesh Vazirani, Vijay V. Vazirani (1987). Matching is as easy as matrix inversion. Proceedings of the nineteenth annual ACM conference on Theory of computing - STOC '87 , 345-354. https://doi.org/10.1145/28395.383347

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DOI
10.1145/28395.383347

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