activity
20142026
most citedKnot mosaic tabulation

14 citations · 30 across the 20 of their papers we have counts for

collaborators

24 papers

math.OC2026

A characterization of maximal inhomogeneous-quadratic-free sets

Gonzalo Muñoz, Joseph Paat, Felipe Serrano

The intersection cut framework is a versatile tool for generating valid inequalities in optimization. Its main ingredients are so-called -free sets: convex sets whose interiors…

math.CO2025

The column number for 3-modular matrices

Joseph Paat, Zach Walsh, Luze Xu

An integer-valued matrix is -modular if each submatrix has determinant at most in absolute value. The c…

math.CO2024

Characterizing unimodular laminar hypergraphs via forbidden subhypergraphs

Marco Caoduro, Meike Neuwohner, Joseph Paat

The incidence matrix of a graph is totally unimodular if and only if the graph is bipartite, i.e., it contains no odd cycles. We extend the characterization of total unimodularity…

math.OC2023

The MIP Workshop 2023 Computational Competition on Reoptimization

Suresh Bolusani, Mathieu Besançon, Ambros Gleixner +5

This paper describes the computational challenge developed for a computational competition held in 2023 for the anniversary of the Mixed Integer Programming Work…

math.OC2023

Extended formulations for the integer hull of strictly -modular cographic polyhedral cones

Joseph Paat, Zach Walsh, Luze Xu

Conforti et al. give a compact extended formulation for a class of bimodular-constrained integer programs, namely those that model the stable set polytope of a graph with no disjoi…

math.OC2022

On the column number and forbidden submatrices for -modular matrices

Joseph Paat, Ingo Stallknecht, Zach Walsh +1

An integer matrix is -modular if the determinant of each submatrix of has absolute value at mo…

math.OC2022★ 1 cited

Proximity and flatness bounds for linear integer optimization

Marcel Celaya, Stefan Kuhlmann, Joseph Paat +1

We develop a technique that can be applied to provide improved upper bounds for two important questions in linear integer optimization. - Proximity bounds: Given an optimal vertex…

math.OC2022

A characterization of maximal homogeneous-quadratic-free sets

Gonzalo Muñoz, Joseph Paat, Felipe Serrano

The intersection cut framework was introduced by Balas in 1971 as a method for generating cutting planes in integer optimization. In this framework, one uses a full-dimensional con…

math.OC2022

Compressing Branch-and-Bound Trees

Gonzalo Muñoz, Joseph Paat, Álinson S. Xavier

A branch-and-bound (BB) tree certifies a dual bound on the value of an integer program. In this work, we introduce the tree compression problem (TCP): Given a BB tree T that certif…

math.OC2022★ 1 cited

A Colorful Steinitz Lemma with Applications to Block Integer Programs

Timm Oertel, Joseph Paat, Robert Weismantel

The Steinitz constant in dimension is the smallest value such that for any norm on and for any finite zero-sum sequence in the unit ball, the sequence…

math.OC2021

Improving the Cook et al. Proximity Bound Given Integral Valued Constraints

Marcel Celaya, Stefan Kuhlmann, Joseph Paat +1

Consider a linear program of the form , where is an integral matrix. In 1986 Cook, Gerards, Schrijver, and Tardos proved that, given an op…

math.OC2021★ 1 cited

Polynomial upper bounds on the number of differing columns of -modular integer programs

Jon Lee, Joseph Paat, Ingo Stallknecht +1

We study integer-valued matrices with bounded determinants. Such matrices appear in the theory of integer programs (IP) with bounded determinants. For example, Artmann et al. showe…

math.OC2020

Constructing lattice-free gradient polyhedra in dimension two

Joseph Paat, Miriam Schlöter, Emily Speakman

Lattice-free gradient polyhedra can be used to certify optimality for mixed-integer convex minimization models. We consider how to construct these polyhedra for unconstrained model…

math.OC2020★ 1 cited

Improving proximity bounds using sparsity

Jon Lee, Joseph Paat, Ingo Stallknecht +1

We refer to the distance between optimal solutions of integer programs and their linear relaxations as proximity. In 2018, Eisenbrand and Weismantel proved that proximity is indepe…

math.OC2019★ 6 cited

Sparsity of integer solutions in the average case

Timm Oertel, Joseph Paat, Robert Weismantel

We examine how sparse feasible solutions of integer programs are, on average. Average case here means that we fix the constraint matrix and vary the right-hand side vectors. For a…

math.OC2019

The distributions of functions related to parametric integer optimization

Timm Oertel, Joseph Paat, Robert Weismantel

We consider the asymptotic distribution of the IP sparsity function, which measures the minimal support of optimal IP solutions, and the IP to LP distance function, which measures…

math.OC2019

The Integrality Number of an Integer Program

Joseph Paat, Miriam Schlöter, Robert Weismantel

We introduce the integrality number of an integer program (IP) in inequality form. Roughly speaking, the integrality number is the smallest number of integer constraints needed to…

math.OC2018

Distances of optimal solutions of mixed-integer programs

Joseph Paat, Robert Weismantel, Stefan Weltge

A classic result of Cook et al. (1986) bounds the distances between optimal solutions of mixed-integer linear programs and optimal solutions of the corresponding linear relaxations…

math.OC2017★ 5 cited

Approximation of corner polyhedra with families of intersection cuts

Gennadiy Averkov, Amitabh Basu, Joseph Paat

We study the problem of approximating the corner polyhedron using intersection cuts derived from families of lattice-free sets in . In particular, we look at the prob…

math.OC2017

Extreme functions with an arbitrary number of slopes

Amitabh Basu, Michele Conforti, Marco Di Summa +1

For the one dimensional infinite group relaxation, we construct a sequence of extreme valid functions that are piecewise linear and such that for every natural number , th…

math.OC2016

The structure of the infinite models in integer programming

Amitabh Basu, Michele Conforti, Marco Di Summa +1

The infinite models in integer programming can be described as the convex hull of some points or as the intersection of halfspaces derived from valid functions. In this paper we st…

math.OC2016★ 1 cited

Non-unique lifting of integer variables in minimal inequalities

Amitabh Basu, Santanu S. Dey, Joseph Paat

We explore the lifting question in the context of cut-generating functions. Most of the prior literature on this question focuses on cut-generating functions that have the unique l…

math.GT2016★ 14 cited

Knot mosaic tabulation

Hwa Jeong Lee, Lewis D. Ludwig, Joseph S. Paat +1

In 2008, Lomonaco and Kauffman introduced a knot mosaic system to define a quantum knot system. A quantum knot is used to describe a physical quantum system such as the topology or…

math.OC2014

Operations that preserve the covering property of the lifting region

Amitabh Basu, Joe Paat

We contribute to the theory for minimal liftings of cut-generating functions. In particular, we give three operations that preserve the so-called covering property of certain struc…