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An approximation algorithm dependent on edge-coloring number for minimum maximal matching problem

机译:最小边缘匹配问题的一种取决于边缘着色数的近似算法

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摘要

We consider the minimum maximal matching problem, which is NP-hard (Yannakakis and Gavril (1980) [18]). Given an unweighted simple graph G = (V, E), the problem seeks to find a maximal matching of minimum cardinality. It was unknown whether there exists a non-trivial approximation algorithm whose approximation ratio is less than 2 for any simple graph. Recently, Z. Gotthilf et al. (2008) [5] presented a (2-C(log|V|/|V|)approximation algorithm, where c is an arbitrary constant. In this paper, we present a (2 —1/x'(G)approximation algorithm based on an LP relaxation, where x'(G) is the edge-coloring number of G. Our algorithm is the first non-trivial approximation algorithm whose approximation ratio is independent of |V|. Moreover, it is known that the minimum maximal matching problem is equivalent to the edge dominating set problem. Therefore, the edge dominating set problem is also (2 -1/x'(G))-approximable. From edge-coloring theory, the approximation ratio of our algorithm is 2 - 1/Δ(G)+1, where Δ(G) represents the maximum degree of G. In our algorithm, an LP formulation for the edge dominating set problem is used. Fujito and Nagamochi (2002) [4] showed the integrality gap of the LP formulation for bipartite graphs is at least 2 -1/Δ(G). Moreover, x'(C) is Δ(G) for bipartite graphs. Thus, as far as an approximation algorithm for the minimum maximal matching problem uses the LP formulation, we believe our result is the best possible.
机译:我们考虑最小最大匹配问题,即NP-难问题(Yannakakis和Gavril(1980)[18])。给定一个未加权的简单图G =(V,E),该问题试图找到最小基数的最大匹配。对于任何简单图,是否存在非平凡的近似算法,其近似比率均小于2尚不清楚。最近,Z。Gotthilf等人。 (2008)[5]提出了(2-C(log | V | / | V |)近似算法,其中c是任意常数。在本文中,我们提出了(2 _1 / x'(G)近似我们的算法是第一个非平凡的近似算法,它的近似比率与| V |无关,这是一个基于LP松弛的算法,其中x'(G)是G的边缘着色数。最大匹配问题等同于边缘支配集问题,因此,边缘支配集问题也是(2 -1 / x'(G))-可近似的,根据边缘着色理论,我们算法的近似比为2- 1 /Δ(G)+1,其中Δ(G)代表最大G的程度。在我们的算法中,使用了针对边支配集问题的LP公式。Fujito和Nagamochi(2002)[4]显示了完整性差距用于二部图的LP公式的最小乘积至少为2 -1 /Δ(G)。此外,对于二部图,x'(C)为Δ(G),因此,对于最小最大匹配pr的近似算法oblem使用LP配方,我们相信我们的结果是最好的。

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