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Faster Algorithm for Finding Maximum 1-Restricted Simple 2-Matchings

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Abstract

We revisit the problem of finding a 1-restricted simple 2-matching of maximum cardinality. Recall that, given an undirected graph \({\varvec{G = (V, E)}}\), a simple 2-matching is a subset \({\varvec{M}} \subseteq {\varvec{E}}\) of edges such that each node in \({\varvec{V}}\) is incident to at most two edges in \({\varvec{M}}\). Clearly, each such \({\varvec{M}}\) decomposes into a node-disjoint collection of paths and circuits. \({\varvec{M}}\) is called 1-restricted if it contains no isolated edges (i.e. paths of length one). A combinatorial polynomial algorithm for finding such \({\varvec{M}}\) of maximum cardinality and also a min-max relation were devised by Hartvigsen. It was shown that finding such \({\varvec{M}}\) amounts to computing a (not necessarily 1-restricted) simple 2-matching \({\varvec{M}}_{\varvec{0}}\) of maximum cardinality and subsequently altering it into \({\varvec{M}}\) of the same cardinality so as to minimize the number of isolated edges. While the first phase (which computes \({\varvec{M}}_{\varvec{0}}\)) runs in \({\varvec{O}}\left( {\varvec{E}} \sqrt{V}\right) \) time, the second one (which turns \({\varvec{M}}_{\varvec{0}}\) into \({\varvec{M}}\)) requires \({\varvec{O(VE)}}\) time. In this paper we apply the general blocking augmentation approach (initially introduced, e.g., for bipartite matchings by Hopcroft and Karp, and also by Dinic) and present a novel algorithm that reduces the time needed for the second phase to \({\varvec{O}}\left( \textbf{E} \sqrt{V}\right) \) thus completely closing the gap between 1-restricted and unrestricted cases.

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Correspondence to Maxim Babenko.

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Artamonov, S., Babenko, M. Faster Algorithm for Finding Maximum 1-Restricted Simple 2-Matchings. Algorithmica 86, 717–734 (2024). https://doi.org/10.1007/s00453-023-01148-6

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