arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2001.03252cs.CG
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完美非交叉匹配的新变体

New variants of Perfect Non-crossing Matchings

Università della Svizzera italiana(瑞士意大利语大学);University of Novi Sad(诺维萨德大学);Technische Universität Berlin(柏林工业大学)

Ioannis Mantas, Marko Savić, Hendrik Schrezenmaier

AI总结:

本文研究平面点集的完美非交叉匹配问题,在经典MinMax变体之外,提出并求解MaxMin、MinMin和MaxMax等新优化变体,覆盖单色与双色情形,并为多种点配置设计高效算法。

摘要:

给定平面中的一组点,我们关注用直线段将它们匹配起来。我们聚焦于完美(所有点都被匹配)非交叉(任意两条边不相交)匹配。除了众所周知的MinMax变体(其中最长边的长度被最小化)之外,我们通过研究不同的优化变体(如MaxMin、MinMin和MaxMax)来扩展工作。我们考虑了这些问题的单色和双色版本,并通过采用多种技术,为各种输入点配置提供了高效算法。

英文摘要:

Given a set of points in the plane, we are interested in matching them with straight line segments. We focus on perfect (all points are matched) non-crossing (no two edges intersect) matchings. Apart from the well known MinMax variation, where the length of the longest edge is minimized, we extend work by looking into different optimization variants such as MaxMin, MinMin, and MaxMax. We consider both the monochromatic and bichromatic versions of these problems and by employing diverse techniques we provide efficient algorithms for various input point configurations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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