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In the classic Integer Programming (IP) problem, the objective is to decide whether, for a given $m \times n$ matrix $A$ and an $m$-vector $b=(b_1,\dots, b_m)$, there is a non-negative integer $n$-vector $x$ such that $Ax=b$. Solving (IP)…

Data Structures and Algorithms · Computer Science 2018-07-18 Fedor V. Fomin , Fahad Panolan , M. S. Ramanujan , Saket Saurabh

A lattice of integers is the collection of all linear combinations of a set of vectors for which all entries of the vectors are integers and all coefficients in the linear combinations are also integers. Lattice reduction refers to the…

Cryptography and Security · Computer Science 2024-04-09 François Charton , Kristin Lauter , Cathy Li , Mark Tygert

Let $A(x)=A\_0+x\_1A\_1+...+x\_nA\_n$ be a linear matrix, or pencil, generated by given symmetric matrices $A\_0,A\_1,...,A\_n$ of size $m$ with rational entries. The set of real vectors x such that the pencil is positive semidefinite is a…

Optimization and Control · Mathematics 2016-09-20 Didier Henrion , Simone Naldi , Mohab Safey El Din

Integer programs with m constraints are solvable in pseudo-polynomial time in $\Delta$, the largest coefficient in a constraint, when m is a fixed constant. We give a new algorithm with a running time of $O(\sqrt{m}\Delta)^{2m} + O(nm)$,…

Data Structures and Algorithms · Computer Science 2022-07-27 Klaus Jansen , Lars Rohwedder

We consider the problem of finding the matching map between two sets of $d$-dimensional noisy feature-vectors. The distinctive feature of our setting is that we do not assume that all the vectors of the first set have their corresponding…

Statistics Theory · Mathematics 2023-03-10 Arshak Minasyan , Tigran Galstyan , Sona Hunanyan , Arnak Dalalyan

The support of a vector is the number of nonzero-components. We show that given an integral $m\times n$ matrix $A$, the integer linear optimization problem $\max\left\{\boldsymbol{c}^T\boldsymbol{x} : A\boldsymbol{x} = \boldsymbol{b}, \,…

Optimization and Control · Mathematics 2017-12-27 Iskander Aliev , Jesus De Loera , Fritz Eisenbrand , Timm Oertel , Robert Weismantel

We consider the following problem: Given a rational matrix $A \in \setQ^{m \times n}$ and a rational polyhedron $Q \subseteq\setR^{m+p}$, decide if for all vectors $b \in \setR^m$, for which there exists an integral $z \in \setZ^p$ such…

Optimization and Control · Mathematics 2008-01-29 Friedrich Eisenbrand , Gennady Shmonin

We consider the Online Boolean Matrix-Vector Multiplication (OMV) problem studied by Henzinger et al. [STOC'15]: given an $n \times n$ Boolean matrix $M$, we receive $n$ Boolean vectors $v_1,\ldots,v_n$ one at a time, and are required to…

Data Structures and Algorithms · Computer Science 2016-05-09 Kasper Green Larsen , Ryan Williams

Consider the following Online Boolean Matrix-Vector Multiplication problem: We are given an $n\times n$ matrix $M$ and will receive $n$ column-vectors of size $n$, denoted by $v_1,\ldots,v_n$, one by one. After seeing each vector $v_i$, we…

Data Structures and Algorithms · Computer Science 2015-11-24 Monika Henzinger , Sebastian Krinninger , Danupon Nanongkai , Thatchaphol Saranurak

Tracking causality (or happened-before relation) between events is useful for many applications such as debugging and recovery from failures. Consider a concurrent system with $n$ threads and $m$ objects. For such systems, either a vector…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-23 Xiong Zheng , Vijay Garg

Given a zero-dimensional polynomial system consisting of n integer polynomials in n variables, we propose a certified and complete method to compute all complex solutions of the system as well as a corresponding separating linear form l…

Symbolic Computation · Computer Science 2016-05-02 Cornelius Brand , Michael Sagraloff

We study the average-case version of the Orthogonal Vectors problem, in which one is given as input $n$ vectors from $\{0,1\}^d$ which are chosen randomly so that each coordinate is $1$ independently with probability $p$. Kane and Williams…

Data Structures and Algorithms · Computer Science 2024-10-31 Josh Alman , Alexandr Andoni , Hengjie Zhang

We present an algorithm to find an integral vector in the polyhedral cone $\Gamma=\{X | \textbf{A}X \leq \textbf{0}\}$, without assuming the explicit knowledge of $\textbf{A}$. About the polyhedral cone, $\Gamma$, it is only given that, (i)…

Optimization and Control · Mathematics 2011-11-15 Ali Kakhbod , Morteza Zadimoghaddam

The intention of this note is two-fold. First, we study integer optimization problems in standard form defined by $A \in\mathbb{Z}^{m\times{}n}$ and present an algorithm to solve such problems in polynomial-time provided that both the…

Optimization and Control · Mathematics 2016-04-01 Stephan Artmann , Friedrich Eisenbrand , Christoph Glanzer , Timm Oertel , Santosh Vempala , Robert Weismantel

For an $n \times n$ matrix $M$ with entries in $\mathbb{Z}_2$ denote by $R(M)$ the minimal rank of all the matrices obtained by changing some numbers on the main diagonal of $M$. We prove that for each non-negative integer $k$ there is a…

Combinatorics · Mathematics 2021-04-22 Eugene Kogan

Given matrices A and B and vectors a, b, c and d, all with non-negative entries, we consider the problem of computing min {c.x: x in Z^n_+, Ax > a, Bx < b, x < d}. We give a bicriteria-approximation algorithm that, given epsilon in (0, 1],…

Data Structures and Algorithms · Computer Science 2015-06-02 Stavros G. Kolliopoulos , Neal E. Young

We study optimal decision policies for integer linear programs with a fixed feasible set and varying cost vectors, represented as linear decision trees. Once synthesized for a given feasible set, they return an optimal solution for any…

Optimization and Control · Mathematics 2026-05-05 Théo Guyard , Cleber Oliveira , Maximilian Schiffer , Eduardo Uchoa , Thibaut Vidal

We study the problem of finding the cycle of minimum cost-to-time ratio in a directed graph with $ n $ nodes and $ m $ edges. This problem has a long history in combinatorial optimization and has recently seen interesting applications in…

Data Structures and Algorithms · Computer Science 2018-03-02 Karl Bringmann , Thomas Dueholm Hansen , Sebastian Krinninger

Matrix completion algorithms recover a low rank matrix from a small fraction of the entries, each entry contaminated with additive errors. In practice, the singular vectors and singular values of the low rank matrix play a pivotal role for…

Methodology · Statistics 2016-05-03 Juhee Cho , Donggyu Kim , Karl Rohe

In the Orthogonal Vectors problem (OV), we are given two families $A, B$ of subsets of $\{1,\ldots,d\}$, each of size $n$, and the task is to decide whether there exists a pair $a \in A$ and $b \in B$ such that $a \cap b = \emptyset$.…

Data Structures and Algorithms · Computer Science 2025-07-16 Anita Dürr , Evangelos Kipouridis , Karol Węgrzycki