Given a set of $n$ red and $n$ blue points in the plane, we are interested in matching red points with blue points by straight line segments so that the segments do not cross. We develop a range of tools for dealing with the non-crossing matchings of points in convex position. It turns out that the points naturally partition into groups that we refer to as orbits, with a number of properties that prove useful for studying and efficiently processing the non-crossing matchings. Bottleneck matching is such a matching that minimizes the length of the longest segment. Illustrating the use of the developed tools, we solve the problem of finding bottleneck matchings of points in convex position in $O(n^2)$ time. Subsequently, combining our tools with a geometric analysis we design an $O(n)$-time algorithm for the case where the given points lie on a circle. Previously best known results were $O(n^3)$ for points in convex position, and $O(n \log n$) for points on a circle.
翻译:鉴于飞机上有一套红点和蓝点,我们有兴趣通过直线段将红点与蓝点对齐,以使各段不交叉。我们开发了一系列工具,处理锥形位置各点的非交叉匹配问题。结果发现,各点自然分割成我们称为轨道的一组,有若干属性证明有助于研究和高效处理非交叉匹配。瓶颈匹配是一种匹配,可以最大限度地减少最长段的长度。在使用开发工具时,我们用$(n)2美元的时间解决找到锥形位置各点的瓶颈匹配问题。随后,将我们的工具与几何分析结合起来,我们设计出一个美元(n)-时间的算法,用于圆形上特定点所在的情况。以前已知的最佳结果是,对锥形位置的值为$(n)3美元,对圆形点的值为$(n)-美元。