An O(n(log n)3) algorithm for maximum matching in trapezoid graphs

N. Le, Phan-Thuan Do
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Abstract

Trapezoid graphs are intersection graphs of trapezoids between two horizontal lines. Many graph problems that are NP-hard in general case have polynomial time algorithms for trapezoid graphs. A matching in a graph is a set of pairwise non-adjacent edges, and a maximum matching is a matching whose cardinality is maximum. In this paper, we define a modified range tree data structure, called S-Range tree, which allows to report the maximum label of points in a rectangular region and update the label of a point efficiently. We use this data structure to construct an O(n(log n)3) algorithm for finding a maximum matching in trapezoid graphs based on their box representation. In addition, we generalize this algorithm for a larger graph class, k-trapezoid graph by using multidimensional range tree. To the best of our knowledge, this is the first efficient maximum matching algorithm for trapezoid graphs.
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梯形图最大匹配的O(n(log n)3)算法
梯形图是两条水平线之间梯形的交点图。许多一般情况下np困难的图问题都采用多项式时间算法求解梯形图。图中的匹配是一对非相邻边的集合,最大匹配是基数最大的匹配。本文定义了一种改进的范围树数据结构,称为s -范围树,它可以报告矩形区域内点的最大标签并有效地更新点的标签。我们使用这个数据结构来构造一个O(n(log n)3)算法,用于根据梯形图的框表示来寻找最大匹配。此外,我们利用多维范围树将该算法推广到更大的图类k-梯形图。据我们所知,这是第一个有效的梯形图最大匹配算法。
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