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Integer programs (IPs) on constraint matrices with bounded subdeterminants are conjectured to be solvable in polynomial time. We give a strongly polynomial time algorithm to solve IPs where the constraint matrix has bounded subdeterminants…

Data Structures and Algorithms · Computer Science 2025-03-19 Stefan Kober

Let $A$ be an $(m \times n)$ integral matrix, and let $P=\{ x : A x \leq b\}$ be an $n$-dimensional polytope. The width of $P$ is defined as $ w(P)=min\{ x\in \mathbb{Z}^n\setminus\{0\} :\: max_{x \in P} x^\top u - min_{x \in P} x^\top v…

Computational Geometry · Computer Science 2022-11-30 Dmitry Gribanov , Sergey Veselov

Motivated by complexity questions in integer programming, this paper aims to contribute to the understanding of combinatorial properties of integer matrices of row rank $r$ and with bounded subdeterminants. In particular, we study the…

Combinatorics · Mathematics 2023-09-08 Björn Kriepke , Gohar M. Kyureghyan , Matthias Schymura

An integer matrix $\mathbf{A}$ is $\Delta$-modular if the determinant of each $\text{rank}(\mathbf{A}) \times \text{rank}(\mathbf{A})$ submatrix of $\mathbf{A}$ has absolute value at most $\Delta$. The study of $\Delta$-modular matrices…

Optimization and Control · Mathematics 2022-12-08 Joseph Paat , Ingo Stallknecht , Zach Walsh , Luze Xu

We study the maximal number of pairwise distinct columns in a $\Delta$-modular integer matrix with $m$ rows. Recent results by Lee et al. provide an asymptotically tight upper bound of $O(m^2)$ for fixed $\Delta$. We complement this and…

Combinatorics · Mathematics 2022-07-12 Gennadiy Averkov , Matthias Schymura

We prove a sharp upper bound on the number of distinct columns of a totally unimodular matrix with column sums $1$ improving upon Heller's classical bound. The proof uses Seymour's decomposition theorem. Such matrices are closely related to…

Combinatorics · Mathematics 2026-04-14 Benjamin Nill

There has been significant work recently on integer programs (IPs) $\min\{c^\top x \colon Ax\leq b,\,x\in \mathbb{Z}^n\}$ with a constraint marix $A$ with bounded subdeterminants. This is motivated by a well-known conjecture claiming that,…

Data Structures and Algorithms · Computer Science 2023-02-15 Martin Nägele , Christian Nöbel , Richard Santiago , Rico Zenklusen

The column number question asks for the maximal number of columns of an integer matrix with the property that all its rank size minors are bounded by a fixed parameter $\Delta$ in absolute value. Polynomial upper bounds have been proved in…

Combinatorics · Mathematics 2025-03-28 Björn Kriepke , Matthias Schymura

An integer-valued matrix $\mathbf{A}$ is $\Delta$-modular if each $\text{rank}(\mathbf{A}) \times \text{rank}(\mathbf{A})$ submatrix has determinant at most $\Delta$ in absolute value. The column number problem is to determine the maximum…

Combinatorics · Mathematics 2025-09-18 Joseph Paat , Zach Walsh , Luze Xu

We consider the set $\mathcal{M}_n(\mathbb Z; H)$ of $n\times n$-matrices with integer elements of size at most $H$ and obtain a new upper bound on the number of matrices from $\mathcal{M}_n(\mathbb Z; H)$ with a given characteristic…

Number Theory · Mathematics 2024-09-05 Philipp Habegger , Alina Ostafe , Igor E. Shparlinski

This paper introduces a framework to study discrete optimization problems which are parametric in the following sense: their constraint matrices correspond to matrices over the ring $\mathbb{Z}[x]$ of polynomials in one variable. We…

Optimization and Control · Mathematics 2024-03-08 Marcel Celaya , Stefan Kuhlmann , Robert Weismantel

A long-standing open question in Integer Programming is whether integer programs with constraint matrices with bounded subdeterminants are efficiently solvable. An important special case thereof are congruency-constrained integer programs…

Optimization and Control · Mathematics 2023-04-26 Martin Nägele , Richard Santiago , Rico Zenklusen

The determinantal complexity of a polynomial $P \in \mathbb{F}[x_1, \ldots, x_n]$ over a field $\mathbb{F}$ is the dimension of the smallest matrix $M$ whose entries are affine functions in $\mathbb{F}[x_1, \ldots, x_n]$ such that $P =…

Computational Complexity · Computer Science 2021-12-03 Mrinal Kumar , Ben Lee Volk

We consider the set $\mathcal{M}_n(\mathbb{Z}; H)$ of $n\times n$-matrices with integer elements of size at most $H$ and obtain upper and lower bounds on the number of distinct irreducible characteristic polynomials which correspond to…

Number Theory · Mathematics 2025-02-18 László Mérai , Igor E. Shparlinski

We consider the problem of computing matrix polynomials $p(X)$, where $X$ is a large dense matrix, with as few matrix-matrix multiplications as possible. More precisely, let $\Pi_{2^{m}}^*$ represent the set of polynomials computable with…

Numerical Analysis · Mathematics 2025-08-14 Elias Jarlebring , Gustaf Lorentzon

In this paper we shed more light on determinants of interval matrices. Computing the exact bounds on a determinant of an interval matrix is an NP-hard problem. Therefore, attention is first paid to approximations. NP-hardness of both…

Numerical Analysis · Mathematics 2018-09-12 Jaroslav Horáček , Milan Hladík , Josef Matějka

The problem of expressing a specific polynomial as the determinant of a square matrix of affine-linear forms arises from algebraic geometry, optimisation, complexity theory, and scientific computing. Motivated by recent developments in this…

Commutative Algebra · Mathematics 2023-09-18 Ada Boralevi , Jasper van Doornmalen , Jan Draisma , Michiel E. Hochstenbach , Bor Plestenjak

It is a notorious open question whether integer programs (IPs), with an integer coefficient matrix $M$ whose subdeterminants are all bounded by a constant $\Delta$ in absolute value, can be solved in polynomial time. We answer this question…

We derive a new upper bound on the diameter of a polyhedron P = {x \in R^n : Ax <= b}, where A \in Z^{m\timesn}. The bound is polynomial in n and the largest absolute value of a sub-determinant of A, denoted by \Delta. More precisely, we…

Combinatorics · Mathematics 2014-04-30 Nicolas Bonifas , Marco Di Summa , Friedrich Eisenbrand , Nicolai Hähnle , Martin Niemeier

We show that for every homogeneous polynomial of degree $d$, if it has determinantal complexity at most $s$, then it can be computed by a homogeneous algebraic branching program (ABP) of size at most $O(d^5s)$. Moreover, we show that for…

Computational Complexity · Computer Science 2023-08-10 Abhranil Chatterjee , Mrinal Kumar , Ben Lee Volk
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