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A Euclidean noncrossing Steiner $(1+\epsilon)$-spanner for a point set $P\subset\mathbb{R}^2$ is a planar straight-line graph that, for any two points $a, b \in P$, contains a path whose length is at most $1+\epsilon$ times the Euclidean…

Computational Geometry · Computer Science 2026-02-23 Sujoy Bhore , Sándor Kisfaludi-Bak , Lazar Milenković , Csaba D. Tóth , Karol Węgrzycki , Sampson Wong

Lightness and sparsity are two natural parameters for Euclidean $(1+\varepsilon)$-spanners. Classical results show that, when the dimension $d\in \mathbb{N}$ and $\varepsilon>0$ are constant, every set $S$ of $n$ points in $d$-space admits…

Computational Geometry · Computer Science 2022-06-22 Sujoy Bhore , Csaba D. Toth

Spanners for metric spaces have been extensively studied, both in general metrics and in restricted classes, perhaps most notably in low-dimensional Euclidean spaces -- due to their numerous applications. Euclidean spanners can be viewed as…

Data Structures and Algorithms · Computer Science 2022-06-03 Omri Kahalon , Hung Le , Lazar Milenkovic , Shay Solomon

A celebrated unit distance conjecture due to Erd\H os says that that the unit distances cannot arise more than $C_{\epsilon}n^{1+\epsilon}$ times (for any $\epsilon>0$) among $n$ points in the Euclidean plane (see e.g. \cite{SST84} and the…

Combinatorics · Mathematics 2022-02-14 A. Gafni , A. Iosevich , E. Wyman

Given a set of $n$ points in $d$ dimensions, the Euclidean $k$-means problem (resp. the Euclidean $k$-median problem) consists of finding $k$ centers such that the sum of squared distances (resp. sum of distances) from every point to its…

Computational Geometry · Computer Science 2022-11-17 Vincent Cohen-Addad , Kasper Green Larsen , David Saulpic , Chris Schwiegelshohn , Omar Ali Sheikh-Omar

We study the $d$-dimensional knapsack problem. We are given a set of items, each with a $d$-dimensional cost vector and a profit, along with a $d$-dimensional budget vector. The goal is to select a set of items that do not exceed the budget…

Data Structures and Algorithms · Computer Science 2024-07-16 Ilan Doron-Arad , Ariel Kulik , Pasin Manurangsi

We study the following range searching problem in high-dimensional Euclidean spaces: given a finite set $P\subset \mathbb{R}^d$, where each $p\in P$ is assigned a weight $w_p$, and radius $r>0$, we need to preprocess $P$ into a data…

Computational Geometry · Computer Science 2026-03-13 Andreas Kalavas , Ioannis Psarros

We prove that a bounded open set U in Euclidean n-space has k-width less than C(n) Volume(U)^{k/n}. Using this estimate, we give lower bounds for the k-dilation of degree 1 maps between certain domains in Euclidean space. In particular, we…

Differential Geometry · Mathematics 2007-05-23 Larry Guth

A $(1+\varepsilon)\textit{-stretch tree cover}$ of a metric space is a collection of trees, where every pair of points has a $(1+\varepsilon)$-stretch path in one of the trees. The celebrated $\textit{Dumbbell Theorem}$ [Arya et~al.…

Computational Geometry · Computer Science 2024-03-27 Hsien-Chih Chang , Jonathan Conroy , Hung Le , Lazar Milenkovic , Shay Solomon , Cuong Than

Spanners for low dimensional spaces (e.g. Euclidean space of constant dimension, or doubling metrics) are well understood. This lies in contrast to the situation in high dimensional spaces, where except for the work of Har-Peled, Indyk and…

Data Structures and Algorithms · Computer Science 2018-04-23 Arnold Filtser , Ofer Neiman

We develop a new simple approach to prove upper bounds for generalizations of the Heilbronn's triangle problem in higher dimensions. Among other things, we show the following: for fixed $d \ge 1$, any subset of $[0, 1]^d$ of size $n$…

Combinatorics · Mathematics 2024-03-14 Dmitrii Zakharov

We show analytically that the $[0,1]$, $[1,1]$ and $[2,1]$ Pad{\'e} approximants of the mean cluster number $S(p)$ for site and bond percolation on general $d$-dimensional lattices are upper bounds on this quantity in any Euclidean…

Statistical Mechanics · Physics 2015-06-12 Salvatore Torquato , Yang Jiao

The study of extremal problems on triangle areas was initiated in a series of papers by Erd\H{o}s and Purdy in the early 1970s. In this paper we present new results on such problems, concerning the number of triangles of the same area that…

Combinatorics · Mathematics 2013-12-17 Adrian Dumitrescu , Micha Sharir , Csaba D. Toth

Fractal dimension constitutes the main tool to test for fractal patterns in Euclidean contexts. For this purpose, it is always used the box dimension, since it is easy to calculate, though the Hausdorff dimension, which is the oldest and…

Dynamical Systems · Mathematics 2016-08-07 Magdalena Nowak , Manuel Fernández-Martínez , Miguel Angel Sánchez-Granero

Combinatorial optimization is a fertile testing ground for statistical physics methods developed in the context of disordered systems, allowing one to confront theoretical mean field predictions with actual properties of finite dimensional…

Disordered Systems and Neural Networks · Physics 2009-10-31 J. Houdayer , J. H. Boutet de Monvel , O. C. Martin

We introduce a fractal dimension for a metric space defined in terms of the persistent homology of extremal subsets of that space. We exhibit hypotheses under which this dimension is comparable to the upper box dimension; in particular, the…

Metric Geometry · Mathematics 2019-07-31 Benjamin Schweinhart

An essential requirement of spanners in many applications is to be fault-tolerant: a $(1+\epsilon)$-spanner of a metric space is called (vertex) $f$-fault-tolerant ($f$-FT) if it remains a $(1+\epsilon)$-spanner (for the non-faulty points)…

Computational Geometry · Computer Science 2024-02-09 Hung Le , Shay Solomon , Cuong Than

Max-Cut is a fundamental problem that has been studied extensively in various settings. We design an algorithm for Euclidean Max-Cut, where the input is a set of points in $\mathbb{R}^d$, in the model of dynamic geometric streams, where the…

Data Structures and Algorithms · Computer Science 2023-03-30 Xiaoyu Chen , Shaofeng H. -C. Jiang , Robert Krauthgamer

The main goal of this paper has a double purpose. On the one hand, we propose a new definition in order to compute the fractal dimension of a subset respect to any fractal structure, which completes the theory of classical box-counting…

Chaotic Dynamics · Physics 2010-07-23 M. Fernández-Martínez , M. A Sánchez-Granero

Lightness is a fundamental parameter for Euclidean spanners; it is the ratio of the spanner weight to the weight of the minimum spanning tree of a finite set of points in $\mathbb{R}^d$. In a recent breakthrough, Le and Solomon (2019)…

Computational Geometry · Computer Science 2021-03-30 Sujoy Bhore , Csaba D. Tóth