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arXiv · 1907.02333

Randomized sequential importance sampling for estimating the number of perfect matchings in bipartite graphs

Persi Diaconis·Brett Kolesnik
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Abstract

We introduce and study randomized sequential importance sampling algorithms for estimating the number of perfect matchings in bipartite graphs. In analyzing their performance, we establish various non-standard central limit theorems. We expect our methods to be useful for other applied problems.

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BibTeXRIS

Persi Diaconis, Brett Kolesnik. 2019-07-04. Randomized sequential importance sampling for estimating the number of perfect matchings in bipartite graphs. https://doi.org/10.1016/j.aam.2021.102247

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