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We initiate the study of the Diverse Pair of (Maximum/ Perfect) Matchings problems which given a graph $G$ and an integer $k$, ask whether $G$ has two (maximum/perfect) matchings whose symmetric difference is at least $k$. Diverse Pair of…

Data Structures and Algorithms · Computer Science 2020-09-11 Fedor V. Fomin , Petr A. Golovach , Lars Jaffke , Geevarghese Philip , Danil Sagunov

We prove a new upper bound for the minimum $d$-degree threshold for perfect matchings in $k$-uniform hypergraphs when $d<k/2$. As a consequence, this determines exact values of the threshold when $0.42k \le d < k/2$ or when $(k,d)=(12,5)$…

Combinatorics · Mathematics 2016-05-12 Jie Han

Our goal is to compare two planar point sets by finding subsets of a given size such that a minimum-weight matching between them has the smallest weight. This can be done by a translation of one set that minimizes the weight of the…

Computational Geometry · Computer Science 2018-10-25 Pankaj K. Agarwal , Haim Kaplan , Geva Kipper , Wolfgang Mulzer , Günter Rote , Micha Sharir , Allen Xiao

A classical result of Dowker (Bull. Amer. Math. Soc. 50: 120-122, 1944) states that for any plane convex body $K$ in the Euclidean plane, the areas of the maximum (resp. minimum) area convex $n$-gons inscribed (resp. circumscribed) in $K$…

Metric Geometry · Mathematics 2024-03-26 Bushra Basit , Zsolt Lángi

In 1992, Bollob\'as and Meir showed that for every $k \geq 1$ there exists a constant $c_k$ such that, for any $n$ points in the $k$-dimensional unit cube $[0, 1]^k$, one can find a tour $x_1, \dots, x_n$ through these $n$ points with…

Combinatorics · Mathematics 2026-03-24 Alexey Gordeev

We begin by revisiting a paper of Erd\H{o}s and Fishburn, which posed the following question: given $k\in \mathbb{N}$, what is the maximum number of points in a plane that determine at most $k$ distinct distances, and can such optimal…

We develop lower bounds for the energy of configurations in $\mathbb{R}^d$ periodic with respect to a lattice. In certain cases, the construction of sharp bounds can be formulated as a finite dimensional, multivariate polynomial…

Classical Analysis and ODEs · Mathematics 2025-10-16 Doug Hardin , Nathaniel Tenpas

We propose the first \emph{local search} algorithm for Euclidean clustering that attains an $O(1)$-approximation in almost-linear time. Specifically, for Euclidean $k$-Means, our algorithm achieves an $O(c)$-approximation in $\tilde{O}(n^{1…

Data Structures and Algorithms · Computer Science 2025-04-07 Shaofeng H. -C. Jiang , Yaonan Jin , Jianing Lou , Pinyan Lu

In Euclidean space there is a trivial upper bound on the maximum length of a compound "walk" built up of variable-length jumps, and a considerably less trivial lower bound on its minimum length. The existence of this non-trivial lower bound…

Mathematical Physics · Physics 2013-09-19 Petarpa Boonserm , Matt Visser

We introduce the natural notion of a matching frame in a $2$-dimensional string. A matching frame in a $2$-dimensional $n\times m$ string $M$, is a rectangle such that the strings written on the horizontal sides of the rectangle are…

Data Structures and Algorithms · Computer Science 2024-04-19 Itai Boneh , Dvir Fried , Shay Golan , Matan Kraus , Adrian Miclaus , Arseny Shur

The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice. Theoretically, however, the best known upper bound on its…

Computational Geometry · Computer Science 2008-12-03 Andrea Vattani

The Euclidean $k$-means problem is a classical problem that has been extensively studied in the theoretical computer science, machine learning and the computational geometry communities. In this problem, we are given a set of $n$ points in…

Computational Complexity · Computer Science 2015-02-12 Pranjal Awasthi , Moses Charikar , Ravishankar Krishnaswamy , Ali Kemal Sinop

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

This paper explores hierarchical clustering in the case where pairs of points have dissimilarity scores (e.g. distances) as a part of the input. The recently introduced objective for points with dissimilarity scores results in every tree…

Machine Learning · Computer Science 2020-09-01 Benjamin Moseley , Yuyan Wang

We study the problem of high-dimensional multiple packing in Euclidean space. Multiple packing is a natural generalization of sphere packing and is defined as follows. Let $ N>0 $ and $ L\in\mathbb{Z}_{\ge2} $. A multiple packing is a set…

Metric Geometry · Mathematics 2022-11-10 Yihan Zhang , Shashank Vatedka

We study matching-removability under the degree/connectivity regime of Halin's theorem, which asserts that every $k$-connected graph $G$ with minimum degree $\delta(G)\ge k+1$ contains an edge $e$ such that $G-e$ remains $k$-connected. For…

Combinatorics · Mathematics 2026-05-26 Hengzhe Li , Mingming Zhou , Shinya Fujita , Yaping Mao

We give alternative definitions for maximum matching width, e.g. a graph $G$ has $\operatorname{mmw}(G) \leq k$ if and only if it is a subgraph of a chordal graph $H$ and for every maximal clique $X$ of $H$ there exists $A,B,C \subseteq X$…

Data Structures and Algorithms · Computer Science 2015-07-10 Jisu Jeong , Sigve Hortemo Sæther , Jan Arne Telle

We consider sequences of finite weighted random graphs that converge locally to unimodular i.i.d. weighted random trees. When the weights are atomless, we prove that the matchings of maximal weight converge locally to a matching on the…

Probability · Mathematics 2025-03-31 Nathanaël Enriquez , Mike Liu , Laurent Ménard , Vianney Perchet

Let $P$ be a set of points in general position in the plane. Join all pairs of points in $P$ with straight line segments. The number of segment-crossings in such a drawing, denoted by $\crg(P)$, is the \emph{rectilinear crossing number} of…

The 2-Wasserstein distance (or RMS distance) is a useful measure of similarity between probability distributions that has exciting applications in machine learning. For discrete distributions, the problem of computing this distance can be…

Computational Geometry · Computer Science 2020-07-17 Nathaniel Lahn , Sharath Raghvendra
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