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The Gromov-Hausdorff distance $(d_{GH})$ proves to be a useful distance measure between shapes. In order to approximate $d_{GH}$ for compact subsets $X,Y\subset\mathbb{R}^d$, we look into its relationship with $d_{H,iso}$, the infimum…

度量几何 · 数学 2024-05-28 Sushovan Majhi , Jeffrey Vitter , Carola Wenk

For each given $p\in[1,\infty]$ we investigate certain sub-family $\mathcal{M}_p$ of the collection of all compact metric spaces $\mathcal{M}$ which are characterized by the satisfaction of a strengthened form of the triangle inequality…

度量几何 · 数学 2021-11-24 Facundo Mémoli , Zhengchao Wan

The Gromov-Hausdorff (GH) distance is a natural way to measure distance between two metric spaces. We prove that it is $\mathrm{NP}$-hard to approximate the Gromov-Hausdorff distance better than a factor of $3$ for geodesic metrics on a…

计算几何 · 计算机科学 2017-06-14 Pankaj K. Agarwal , Kyle Fox , Abhinandan Nath , Anastasios Sidiropoulos , Yusu Wang

We introduce, for the first time, a cohomology-based Gromov-Hausdorff ultrametric method to analyze 1-dimensional and higher-dimensional (co)homology groups, focusing on loops, voids, and higher-dimensional cavity structures in simplicial…

代数拓扑 · 数学 2025-02-27 JunJie Wee , Xue Gong , Wilderich Tuschmann , Kelin Xia

Gromov-Hausdorff distances measure shape difference between the objects representable as compact metric spaces, e.g. point clouds, manifolds, or graphs. Computing any Gromov-Hausdorff distance is equivalent to solving an NP-Hard…

计算几何 · 计算机科学 2024-06-07 Vladyslav Oles , Nathan Lemons , Alexander Panchenko

The Gromov-Hausdorff distance is a dissimilarity metric capturing how far two spaces are from being isometric. The Gromov-Prokhorov distance is a similar notion for metric measure spaces. In this paper, we study the topological dimension of…

度量几何 · 数学 2025-02-18 Hiroki Nakajima , Takamitsu Yamauchi , Nicolò Zava

The Gromov--Hausdorff distance (hereinafter referred to as the GH-distance) is a measure of non-isometricity of metric spaces. In this paper, we study a modification of this distance that also takes topological differences into account. The…

度量几何 · 数学 2025-12-03 Semeon A. Bogaty , Alexey A. Tuzhilin

In this paper, we investigate compact ultrametric measure spaces which form a subset $\mathcal{U}^w$ of the collection of all metric measure spaces $\mathcal{M}^w$. Similar as for the ultrametric Gromov-Hausdorff distance on the collection…

度量几何 · 数学 2021-07-05 Facundo Mémoli , Axel Munk , Zhengchao Wan , Christoph Weitkamp

The Gromov-Hausdorff distance measures the similarity between two metric spaces by isometrically embedding them into an ambient metric space. We introduce an analogue of this distance for metric spaces endowed with directed structures. The…

The Hausdorff distance measures how far apart two sets are in a common metric space. By contrast, the Gromov-Hausdorff distance provides a notion of distance between two abstract metric spaces. How do these distances behave for quotients of…

In this paper we introduce a notion of the Gromov-Hausdorff distance with boundary, denoted by $d_{GHB}$, to construct a framework of convergence of noncomplete metric spaces. We show that a class of bounded $A$-uniform spaces with diameter…

度量几何 · 数学 2021-08-10 Hyogo Shibahara

For each arbitrary finite group $G$, we consider a suitable notion of Gromov Hausdorff distance between compact $G$ metric spaces and derive lower bounds based on equivariant topology methods. As applications, we prove equivariant rigidity…

度量几何 · 数学 2026-01-29 Sunhyuk Lim , Facundo Memoli

The Gromov--Hausdorff distance measures the difference in shape between metric spaces and poses a notoriously difficult problem in combinatorial optimization. We introduce its quadratic relaxation over a convex polytope whose solutions…

计算几何 · 计算机科学 2024-05-09 Vladyslav Oles

In many real-world applications data come as discrete metric spaces sampled around 1-dimensional filamentary structures that can be seen as metric graphs. In this paper we address the metric reconstruction problem of such filamentary…

计算几何 · 计算机科学 2013-05-07 Frédéric Chazal , Jian Sun

The Gromov--Hausdorff distance measures the difference in shape between compact metric spaces. While even approximating the distance up to any practical factor poses an NP-hard problem, its relaxations have proven useful for the problems in…

度量几何 · 数学 2022-09-12 Vladyslav Oles , Kevin R. Vixie

In ``Characterization, stability and convergence of hierarchical clustering methods'' by G. E. Carlsson, F. Memoli, the natural way to construct an ultrametric space from a given metric space was presented. It was shown that the…

度量几何 · 数学 2025-02-03 I. N. Mikhailov

The Gromov-Hausdorff distance provides a metric on the set of isometry classes of compact metric spaces. Unfortunately, computing this metric directly is believed to be computationally intractable. Motivated by applications in shape…

几何拓扑 · 数学 2016-10-20 Soledad Villar , Afonso S. Bandeira , Andrew J. Blumberg , Rachel Ward

We establish universality and ultra-homogeneity of $(\mathcal{U},u_\mathrm{GH})$, the collection of all compact ultrametric spaces endowed with the so-called Gromov-Hausdorff ultrametric. This result also gives rise to a novel construction…

度量几何 · 数学 2021-06-22 Zhengchao Wan

In this paper, we apply the concept of asymptotic dimension to calculating Gromov-Hausdorff distances between some unbounded metric spaces. For example, we show that the Gromov--Hausdorff between $\mathbb{R}^2$ with the Euclidean metric and…

度量几何 · 数学 2025-05-27 Ivan N. Mikhailov

Geometric characteristics of metric spaces that appear in formulas of the Gromov--Hausdorff distances from these spaces to so-called simplexes, i.e., to the metric spaces, all whose non-zero distances are the same are studied. The…

度量几何 · 数学 2019-06-25 D. S. Grigor'ev , A. O. Ivanov , A. A. Tuzhilin
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