On integer programing with bounded determinants
Dmitry Gribanov, Sergey Veselov

TL;DR
This paper investigates conditions under which integer points exist within polytopes defined by matrices with bounded determinants, providing new theoretical results and polynomial-time algorithms for specific classes of matrices.
Contribution
It establishes new criteria for the existence of integer points in polytopes based on matrix determinants and width, and introduces polynomial algorithms for certain matrix classes.
Findings
If all r(A) x r(A) sub-matrices have determinants ±Δ(A) or 0 and width is sufficiently large, then the polytope contains n affine independent integer points.
For simplices with width ≥ δ(A)-1, a polynomial-time algorithm finds an integer point.
Integer programming is polynomial-time solvable when A is almost unimodular.
Abstract
Let be an integral matrix, and let be an -dimensional polytope. The width of is defined as . Let and denote the greatest and the smallest absolute values of a determinant among all sub-matrices of , where is the rank of a matrix . We prove that if every sub-matrix of has a determinant equal to or and , then contains affine independent integer points. Also we have similar results for the case of \emph{-modular} matrices. The matrix is called \emph{totally -modular} if every square sub-matrix of has a determinant in the set . When is a simplex and…
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