最小平面双色生成树

Hugo A. Akitaya, Ahmad Biniaz, Erik D. Demaine, Linda Kleist, Frederick Stock, Csaba D. Tóth
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引用次数: 0

摘要

对于平面上的一组红色和蓝色点,最小双色生成树(MinBST)是这些点的一棵最短生成树,使得每条边都有一个红色端点和一个蓝色端点。MinBST 的计算时间为 $O(n/log n)$,其中 $n$ 为点的个数。与总是平面(无交叉)的标准欧氏 MST 相比,MinBST 可能有相互交叉的边。但是,我们证明 MinBST 是准平面的,也就是说,它不包含三条成对交叉的边,并且我们确定了交叉的最大数量。此外,我们还研究了寻找最小平面双色生成树(MinPBST)的问题,它是具有成对非交叉边的最短双色生成树。众所周知,这个问题很难解决。Borgelt 等人(2009 年)提出的先前最佳近似算法的比率为 $O(\sqrt{n})$。我们还知道,在一些特殊情况下,例如,当点的位置不凸、共线、半共线,或者当一个颜色类的大小恒定时,可以在多项式时间内计算出最优解。我们提出了一种针对一般情况的 $O(\log n)$ 因子近似算法。
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Minimum Plane Bichromatic Spanning Trees
For a set of red and blue points in the plane, a minimum bichromatic spanning tree (MinBST) is a shortest spanning tree of the points such that every edge has a red and a blue endpoint. A MinBST can be computed in $O(n\log n)$ time where $n$ is the number of points. In contrast to the standard Euclidean MST, which is always plane (noncrossing), a MinBST may have edges that cross each other. However, we prove that a MinBST is quasi-plane, that is, it does not contain three pairwise crossing edges, and we determine the maximum number of crossings. Moreover, we study the problem of finding a minimum plane bichromatic spanning tree (MinPBST) which is a shortest bichromatic spanning tree with pairwise noncrossing edges. This problem is known to be NP-hard. The previous best approximation algorithm, due to Borgelt et al. (2009), has a ratio of $O(\sqrt{n})$. It is also known that the optimum solution can be computed in polynomial time in some special cases, for instance, when the points are in convex position, collinear, semi-collinear, or when one color class has constant size. We present an $O(\log n)$-factor approximation algorithm for the general case.
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