2010
DOI: 10.1145/1868237.1868238
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Computing large matchings fast

Abstract: In this paper we present algorithms for computing large matchings in 3-regular graphs, graphs with maximum degree 3, and 3-connected planar graphs. The algorithms give a guarantee on the size of the computed matching and take linear or slightly superlinear time. Thus they are faster than the best-known algorithm for computing maximum matchings in general graphs, which runs in O( √ nm) time, where n denotes the number of vertices and m the number of edges of the given graph. For the classes of 3-regular graphs … Show more

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Cited by 5 publications
(4 citation statements)
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“…In fact, the question how fixed minimum degrees can be exploited algorithmically was posed as an open question in [24]. We answer this question and show that the tight bounds of Nishizeki and Baybars [22] for minimum degree 3 can be reached in linear time.…”
Section: Introductionmentioning
confidence: 94%
See 1 more Smart Citation
“…In fact, the question how fixed minimum degrees can be exploited algorithmically was posed as an open question in [24]. We answer this question and show that the tight bounds of Nishizeki and Baybars [22] for minimum degree 3 can be reached in linear time.…”
Section: Introductionmentioning
confidence: 94%
“…Recently, Rutter and Wolff [24] (a preliminary version appeared in [25]) gave fast algorithms that achieve the tight bounds of Biedl et al Their algorithms compute matchings of size (n − 1)/3 in maxdeg-3 graphs in linear time, of size (4n − 1)/9 in 3-regular graphs in O(n log 4 n) time, and of size (n + 4)/3 in 3-connected planar graphs in linear time. For graphs with bounded maximum degree k, lower bounds for the size of maximal matchings have been considered [26].…”
Section: Introductionmentioning
confidence: 99%
“…In fact the question how fixed minimum degrees can be exploited algorithmically was posed as an open question in [21]. We answer this question and show that the tight bounds of Nishizeki and Baybars [17] for minimum degree 3 can be reached in linear time.…”
Section: Introductionmentioning
confidence: 94%
“…Recently, Rutter and Wolff [21] (a preliminary version appeared in [20]) gave fast algorithms that achieve the tight bounds of Biedl et al Their algorithms compute matchings of size (n − 1)/3 in maxdeg-3 graphs in linear time, of size (4n − 1)/9 in 3-regular graphs in O(n log 4 n) time and of size (n + 4)/3 in 3-connected planar graphs in linear time. For graphs with bounded maximum degree k lower bounds for the size of maximal matchings where considered [9].…”
Section: Introductionmentioning
confidence: 99%