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Induced Matching in Some Subclasses of Bipartite Graphs

机译:二部图某些子类中的诱导匹配

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For a graph G = (V,E), a set M ⊆ 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 in G if G[M], the subgraph of G induced by M, is same as G[S], the subgraph of G induced by S = {v ∈V| 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 Induced Matching Decision problem is NP-complete on bipartite graphs, but polynomial time solvable for convex bipartite graphs. In this paper, we show that the Induced Matching Decision problem is NP-complete for star-convex bipartite graphs and perfect elimination bipartite graphs. On the positive side, we propose polynomial time algorithms to solve the Maximum Induced Matching problem in circular-convex bipartite graphs and triad-convex bipartite graphs by making polynomial reductions from the Maximum Induced Matching problem in these graph classes to the Maximum Induced Matching problem in convex bipartite graphs.
机译:对于图G =(V,E),如果M中没有两个边共享同一顶点,则将集合M⊆E称为G中的匹配。如果G [M](由M引起的G的子图)与G [S](由S引起的G的子图= [v∈V|])相同,则G中的匹配M称为G中的诱导匹配。 v入射在M}的边缘。最大诱导匹配问题是找到最大基数的诱导匹配。给定一个图G和一个正整数k,则诱导匹配决策问题是要判断G是否具有至少为k的基数诱导匹配。诱导匹配决策问题在二部图上是NP完全的,但对于凸二部图是多项式时间可解的。在本文中,我们证明了星型凸二部图和完全消除二部图的诱导匹配决策问题是NP完全的。从积极的方面来看,我们提出了多项式时间算法,通过将多项式从这些图类中的最大归纳匹配问题简化为图中的最大归纳匹配问题,来解决圆凸二部图和三重凸二部图的最大诱导匹配问题。凸二部图。

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