Abstract
A subset \(M\subseteq E\) of edges of a graph \(G=(V,E)\) is called a matching if no two edges of M share a common vertex. A matching M in a graph G is called a uniquely restricted matching if G[V(M)], the subgraph of G induced by the M-saturated vertices of G, contains exactly one perfect matching. A uniquely restricted matching M is maximal if M is not properly contained in any other uniquely restricted matching of G. Given a graph G, the Min-Max-UR Matching problem asks to find a maximal uniquely restricted matching of minimum cardinality in G. In general, the decision version of the Min-Max-UR Matching problem is known to be \({\mathsf {NP}}\)-complete for general graphs and remains so even for bipartite graphs. In this paper, we strengthen this result by proving that this problem remains \({\mathsf {NP}}\)-complete for chordal bipartite graphs and chordal graphs. On the positive side, we prove that the Min-Max-UR Matching problem is polynomial time solvable for bipartite permutation graphs and proper interval graphs. Finally, we show that the Min-Max-UR Matching problem is \(\mathsf {APX}\)-complete for bounded degree graphs.
J. Chaudhary—The author has been supported by the Department of Science and Technology through INSPIRE Fellowship for this research.
B. S. Panda—The author wants to thank the SERB, Department of science and technology for their support vide Diary No. SERB/F/12949/2018-2019.
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Chaudhary, J., Panda, B.S. (2020). On the Complexity of Minimum Maximal Uniquely Restricted Matching. In: Wu, W., Zhang, Z. (eds) Combinatorial Optimization and Applications. COCOA 2020. Lecture Notes in Computer Science(), vol 12577. Springer, Cham. https://doi.org/10.1007/978-3-030-64843-5_25
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