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Enumerating edge-constrained triangulations and edge-constrained non-crossing geometric spanning trees

机译:枚举边约束的三角剖分和边约束的非交叉几何生成树

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摘要

In this paper, we present algorithms for enumerating, without repetitions, all triangulations and non-crossing geometric spanning trees on a given set of n points in the plane under edge inclusion constraint (i.e., some edges are required to be included in the graph). We will first extend the lexicographically ordered triangulations introduced by Bespamyatnikh to the edge-constrained case, and then we prove that a set of all edge-constrained non-crossing spanning trees is connected via remove-add flips, based on the edge-constrained lexicographically largest triangulation. More specifically, we prove that all edge-constrained triangulations can be transformed to the lexicographically largest triangulation among them by O(n2) greedy flips, i.e., by greedily increasing the lexicographical ordering of the edge list, and a similar result also holds for a set of edge-constrained non-crossing spanning trees. Our enumeration algorithms generate each output triangulation and non-crossing spanning tree in O(loglogn) and O(n2) time, respectively, based on the reverse search technique.
机译:在本文中,我们提出了一种算法,用于在不包含重复的情况下枚举平面中在边包含约束下给定n个点集上的所有三角剖分和非交叉几何生成树(即,图中需要包含一些边) 。我们将首先将Bespamyatnikh引入的按词典顺序排序的三角剖分扩展到边缘受限的情况,然后证明基于边缘受限的词典,通过移除-添加翻转连接了一组所有边缘受限的非交叉生成树最大的三角剖分。更具体地说,我们证明了所有受边约束的三角剖分都可以通过O(n2)贪婪翻转而转换为其中最大的三角剖分,即通过贪婪地增加边沿列表的字典序,并且对于边缘约束的非交叉生成树的集合。我们的枚举算法基于反向搜索技术,分别在O(loglogn)和O(n2)时间生成每个输出三角剖分和非交叉生成树。

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