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Maximum weight induced matching in some subclasses of bipartite graphs

Published: 01 October 2020 Publication History

Abstract

A subset ME of edges of a graph G=(V,E) is called a matching in G if no two edges in M share a common vertex. A matching M in G is called an induced matching if G[M], the subgraph of G induced by M, is the same as G[S], the subgraph of G induced by S={vV|v is incident on an edge of M}. The Maximum Induced Matching problem is to find an induced matching of maximum cardinality. Given a graph G and a positive integer k, the Induced Matching Decision problem is to decide whether G has an induced matching of cardinality at least k. The Maximum Weight Induced Matching problem in a weighted graph G=(V,E) in which the weight of each edge is a positive real number, is to find an induced matching such that the sum of the weights of its edges is maximum. It is known that the Induced Matching Decision problem and hence the Maximum Weight Induced Matching problem is known to be NP-complete for general graphs and bipartite graphs. In this paper, we strengthened this result by showing that the Induced Matching Decision problem is NP-complete for star-convex bipartite graphs, comb-convex bipartite graphs, and perfect elimination bipartite graphs, the subclasses of the class of bipartite graphs. On the positive side, we propose polynomial time algorithms for the Maximum Weight Induced Matching problem for circular-convex bipartite graphs and triad-convex bipartite graphs by making polynomial time reductions from the Maximum Weight Induced Matching problem in these graph classes to the Maximum Weight Induced Matching problem in convex bipartite graphs.

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            Published In

            cover image Journal of Combinatorial Optimization
            Journal of Combinatorial Optimization  Volume 40, Issue 3
            Oct 2020
            290 pages

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            Springer-Verlag

            Berlin, Heidelberg

            Publication History

            Published: 01 October 2020

            Author Tags

            1. Matching
            2. Induced matching
            3. Bipartite graphs
            4. Graph algorithm
            5. NP-complete

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            • (2023)Parameterized Results on Acyclic Matchings with Implications for Related ProblemsGraph-Theoretic Concepts in Computer Science10.1007/978-3-031-43380-1_15(201-216)Online publication date: 28-Jun-2023
            • (2022)Linear-Time Algorithms for Maximum-Weight Induced Matchings and Minimum Chain Covers in Convex Bipartite GraphsAlgorithmica10.1007/s00453-021-00904-w84:4(1064-1080)Online publication date: 1-Apr-2022
            • (2022)Weighted Connected MatchingsLATIN 2022: Theoretical Informatics10.1007/978-3-031-20624-5_4(54-70)Online publication date: 7-Nov-2022
            • (2021)Solving Problems on Generalized Convex Graphs via Mim-WidthAlgorithms and Data Structures10.1007/978-3-030-83508-8_15(200-214)Online publication date: 9-Aug-2021

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