Scaling algorithms for weighted matching in general graphs

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Abstract

We present a new scaling algorithm for maximum (or minimum) weight perfect matching on general, edge weighted graphs. Our algorithm runs in O(m p n log(nN)) time, O(m p n) per scale, which matches the running time of the best cardinality matching algorithms on sparse graphs [29, 18]. Here m; n; and N bound the number of edges, vertices, and magnitude of any integer edge weight. Our result improves on a 25-year old algorithm of Gabow and Tarjan, which runs in O(m √ n log n (m; n) log(nN)) time.

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APA

Duan, R., Pettie, S., & Su, H. H. (2017). Scaling algorithms for weighted matching in general graphs. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. 0, pp. 781–800). Association for Computing Machinery. https://doi.org/10.1137/1.9781611974782.50

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