Complexity results on untangling red-blue matchings

IF 0.4 4区 计算机科学 Q4 MATHEMATICS
Arun Kumar Das , Sandip Das , Guilherme D. da Fonseca , Yan Gerard , Bastien Rivier
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引用次数: 0

Abstract

Given a matching between n red points and n blue points by line segments in the plane, we consider the problem of obtaining a crossing-free matching through flip operations that replace two crossing segments by two non-crossing ones. We first show that (i) it is NP-hard to α-approximate the shortest flip sequence, for any constant α. Second, we show that when the red points are collinear, (ii) given a matching, a flip sequence of length at most (n2) always exists, and (iii) the number of flips in any sequence never exceeds (n2)n+46. Finally, we present (iv) a lower bounding flip sequence with roughly 1.5(n2) flips, which shows that the (n2) flips attained in the convex case are not the maximum, and (v) a convex matching from which any flip sequence has roughly 1.5n flips. The last four results, based on novel analyses, improve the constants of state-of-the-art bounds.

解开红蓝匹配的复杂性结果
给定平面中的线段在n个红点和n个蓝点之间的匹配,我们考虑通过用两个不相交的线段替换两个相交的线段的翻转操作来获得无交叉匹配的问题。我们首先证明了(i)对于任何常数α,α-近似最短翻转序列是NP困难的。其次,我们证明了当红点共线时,(ii)给定匹配,长度至多为(n2)的翻转序列总是存在的,并且(iii)任何序列中的翻转数量从不超过(n2)n+46。最后,我们给出了(iv)具有大约1.5(n2)个翻转的下界翻转序列,这表明在凸情况下获得的(n2)次翻转不是最大值,以及(v)凸匹配,从该凸匹配中,任何翻转序列具有大约1.5n次翻转。最后四个结果,基于新的分析,改进了最先进界的常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
16.70%
发文量
43
审稿时长
>12 weeks
期刊介绍: Computational Geometry is a forum for research in theoretical and applied aspects of computational geometry. The journal publishes fundamental research in all areas of the subject, as well as disseminating information on the applications, techniques, and use of computational geometry. Computational Geometry publishes articles on the design and analysis of geometric algorithms. All aspects of computational geometry are covered, including the numerical, graph theoretical and combinatorial aspects. Also welcomed are computational geometry solutions to fundamental problems arising in computer graphics, pattern recognition, robotics, image processing, CAD-CAM, VLSI design and geographical information systems. Computational Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.
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