Abstract
Given a graph G, Min-Max-Acy-Matching is the problem of finding a maximal matching M in G of minimum cardinality such that the set of M-saturated vertices induces an acyclic subgraph in G. Min-Max-Acy-Matching is known to be \({\textsf{NP}}\)-hard. In this paper, we strengthen this result by proving that the decision version of Min-Max-Acy-Matching is \({\textsf{NP}}\)-complete for planar perfect elimination bipartite graphs. We also prove that Min-Max-Acy-Matching for bipartite graphs cannot be approximated within a ratio of \(n^{1-\epsilon }\), for any \(\epsilon >0\) unless \({\textsf{P}}={\textsf{NP}}\). Finally, we show that Min-Max-Acy-Matching is \(\textsf{APX}\)-hard for 4-regular graphs.
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Chaudhary, J., Mishra, S., Panda, B.S. (2022). On the Complexity of Minimum Maximal Acyclic Matchings. In: Zhang, Y., Miao, D., Möhring, R. (eds) Computing and Combinatorics. COCOON 2022. Lecture Notes in Computer Science, vol 13595. Springer, Cham. https://doi.org/10.1007/978-3-031-22105-7_10
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