计算Multicover Bifiltration。

IF 0.6 3区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS Discrete & Computational Geometry Pub Date : 2023-01-01 Epub Date: 2023-02-20 DOI:10.1007/s00454-022-00476-8
René Corbet, Michael Kerber, Michael Lesnick, Georg Osang
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引用次数: 15

摘要

给定有限集合a⊂Rd,设Covr,k表示距离r到a的至少k个点内的所有点的集合。允许r和k变化,我们得到了一个2-参数空间族,当r增加或k减少时,该空间族会变大,称为多重二重过滤。受计算这种二重过滤的同源性问题的启发,我们引入了两种密切相关的组合二重过滤,一种是多面体,另一种是单纯形,它们在拓扑上都等价于多重二重过滤,并且远小于Sheehy先前工作中考虑的基于Čech的模型。我们的多面体构造是Edelsbrunner和Osang的菱形平铺的二重过滤,并且可以使用这些作者给出的算法的变体来有效地计算。使用维度2和维度3的实现,我们提供了实验结果。我们的单纯形构造有助于理解多面体构造并证明其正确性。
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Computing the Multicover Bifiltration.

Given a finite set ARd, let Covr,k denote the set of all points within distance r to at least k points of A. Allowing r and k to vary, we obtain a 2-parameter family of spaces that grow larger when r increases or k decreases, called the multicover bifiltration. Motivated by the problem of computing the homology of this bifiltration, we introduce two closely related combinatorial bifiltrations, one polyhedral and the other simplicial, which are both topologically equivalent to the multicover bifiltration and far smaller than a Čech-based model considered in prior work of Sheehy. Our polyhedral construction is a bifiltration of the rhomboid tiling of Edelsbrunner and Osang, and can be efficiently computed using a variant of an algorithm given by these authors. Using an implementation for dimension 2 and 3, we provide experimental results. Our simplicial construction is useful for understanding the polyhedral construction and proving its correctness.

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来源期刊
Discrete & Computational Geometry
Discrete & Computational Geometry 数学-计算机:理论方法
CiteScore
1.80
自引率
12.50%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Discrete & Computational Geometry (DCG) is an international journal of mathematics and computer science, covering a broad range of topics in which geometry plays a fundamental role. It publishes papers on such topics as configurations and arrangements, spatial subdivision, packing, covering, and tiling, geometric complexity, polytopes, point location, geometric probability, geometric range searching, combinatorial and computational topology, probabilistic techniques in computational geometry, geometric graphs, geometry of numbers, and motion planning.
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