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We prove an asymptotic formula for the probability that, if one chooses a domino tiling of a large Aztec diamond at random according to the uniform distribution on such tilings, the tiling will contain a domino covering a given pair of…

Combinatorics · Mathematics 2012-03-15 Henry Cohn , Noam Elkies , James Propp

Given a binary dominance relation on a set of alternatives, a common thread in the social sciences is to identify subsets of alternatives that satisfy certain notions of stability. Examples can be found in areas as diverse as voting theory,…

Computational Complexity · Computer Science 2015-02-06 Dorothea Baumeister , Felix Brandt , Felix Fischer , Jan Hoffmann , Joerg Rothe

Given a pair of filling curves $\alpha, \beta$ on a surface of genus $g$ with $n$ punctures, we explicitly compute the mapping classes realizing the minimal dilatation over all the pseudo-Anosov maps given by the Thurston construction on…

Geometric Topology · Mathematics 2024-12-24 Maryam Contractor , Otto Reed

An $(n,R)$-covering sequence is a cyclic sequence whose consecutive $n$-tuples form a code of length $n$ and covering radius $R$. Using several construction methods improvements of the upper bounds on the length of such sequences for $n…

Combinatorics · Mathematics 2025-07-16 Yeow Meng Chee , Tuvi Etzion , Hoang Ta , Van Khu Vu

A tessellation of a graph is a partition of its vertices into vertex disjoint cliques. A tessellation cover of a graph is a set of tessellations that covers all of its edges, and the tessellation cover number, denoted by $T(G)$, is the size…

Computational Complexity · Computer Science 2019-08-29 Alexandre Abreu , Luís Cunha , Celina de Figueiredo , Luis Kowada , Franklin Marquezino , Renato Portugal , Daniel Posner

Witsenhausen's problem asks for the maximum fraction $\alpha_n$ of the $n$-dimensional unit sphere that can be covered by a measurable set containing no pairs of orthogonal points. The best upper bounds for $\alpha_n$ are given by…

Metric Geometry · Mathematics 2025-09-17 Bram Bekker , Olga Kuryatnikova , Fernando Mário de Oliveira Filho , Juan C. Vera

Several algorithms with an approximation guarantee of $O(\log n)$ are known for the Set Cover problem, where $n$ is the number of elements. We study a generalization of the Set Cover problem, called the Partition Set Cover problem. Here,…

Data Structures and Algorithms · Computer Science 2018-12-04 Tanmay Inamdar , Kasturi Varadarajan

The Lovasz Local Lemma (LLL) is a probabilistic tool which has been used to show the existence of a variety of combinatorial structures with good "local" properties. The "LLL-distribution" can be used to show that the resulting structures…

Combinatorics · Mathematics 2023-10-13 David G. Harris

We give a probabilistic analysis of a Moser-type algorithm for the Lov\'{a}sz Local Lemma (LLL), adjusted to search for acyclic edge colorings of a graph. We thus improve the best known upper bound to acyclic chromatic index, also obtained…

Discrete Mathematics · Computer Science 2018-01-09 Ioannis Giotis , Lefteris Kirousis , Kostas I. Psaromiligkos , Dimitrios M. Thilikos

We prove game-theoretic versions of several classical results on nonrepetitive sequences, showing the existence of winning strategies using an extension of the Lov\'asz Local Lemma which can dramatically reduce the number of edges needed in…

Combinatorics · Mathematics 2010-10-28 Wesley Pegden

A \itbf{cover} of a string $x = x[1..n]$ is a proper substring $u$ of $x$ such that $x$ can be constructed from possibly overlapping instances of $u$. A recent paper \cite{FIKPPST13} relaxes this definition --- an \itbf{enhanced cover} $u$…

Data Structures and Algorithms · Computer Science 2015-06-24 Ali Alatabbi , A. S. Sohidull Islam , M. Sohel Rahman , Jamie Simpson , W. F. Smyth

The Lovasz Local Lemma is a seminal result in probabilistic combinatorics. It gives a sufficient condition on a probability space and a collection of events for the existence of an outcome that simultaneously avoids all of those events.…

Data Structures and Algorithms · Computer Science 2015-11-19 Nicholas Harvey , Jan Vondrak

We consider the problem of estimating the probability of an observed string drawn i.i.d. from an unknown distribution. The key feature of our study is that the length of the observed string is assumed to be of the same order as the size of…

Information Theory · Computer Science 2007-07-13 Aaron B. Wagner , Pramod Viswanath , Sanjeev R. Kulkarni

This paper investigates the spectral norm version of the column subset selection problem. Given a matrix $\mathbf{A}\in\mathbb{R}^{n\times d}$ and a positive integer $k\leq\text{rank}(\mathbf{A})$, the objective is to select exactly $k$…

Data Structures and Algorithms · Computer Science 2024-01-09 Jian-Feng Cai , Zhiqiang Xu , Zili Xu

We give an $\alpha(1+\epsilon)$-approximation algorithm for solving covering LPs, assuming the presence of a $(1/\alpha)$-approximation algorithm for a certain optimization problem. Our algorithm is based on a simple modification of the…

Data Structures and Algorithms · Computer Science 2020-12-18 Eklavya Sharma

We give a $O(n)$-time algorithm for determining whether translations of a polyomino with $n$ edges can tile the plane. The algorithm is also a $O(n)$-time algorithm for enumerating all such tilings that are also regular, and we prove that…

Computational Geometry · Computer Science 2015-09-23 Andrew Winslow

This study proposed an exhaustive stable/reproducible rule-mining algorithm combined to a classifier to generate both accurate and interpretable models. Our method first extracts rules (i.e., a conjunction of conditions about the values of…

Machine Learning · Computer Science 2017-07-03 Margaux Luck , Nicolas Pallet , Cecilia Damon

A folklore result uses the Lovasz local lemma to analyze the discrepancy of hypergraphs with bounded degree and edge size. We generalize this result to the context of real matrices with bounded row and column sums.

Combinatorics · Mathematics 2013-07-23 Nicholas J. A. Harvey

Random sampling has become a critical tool in solving massive matrix problems. For linear regression, a small, manageable set of data rows can be randomly selected to approximate a tall, skinny data matrix, improving processing time…

Data Structures and Algorithms · Computer Science 2014-08-22 Michael B. Cohen , Yin Tat Lee , Cameron Musco , Christopher Musco , Richard Peng , Aaron Sidford

Over the past decades, there has been a surge of interest in studying low-dimensional structures within high-dimensional data. Statistical factor models $-$ i.e., low-rank plus diagonal covariance structures $-$ offer a powerful framework…

Machine Learning · Statistics 2025-05-20 Daniel Cederberg
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