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Cutting plane selection is a subroutine used in all modern mixed-integer linear programming solvers with the goal of selecting a subset of generated cuts that induce optimal solver performance. These solvers have millions of parameter…

Optimization and Control · Mathematics 2023-02-24 Mark Turner , Thorsten Koch , Felipe Serrano , Michael Winkler

Bipartite graphs model the relationship between two disjoint sets of objects. They have a wide range of applications and are often visualized as a 2-layered drawing, where each set of objects is visualized as a set of vertices (points) on…

Computational Geometry · Computer Science 2022-08-30 Reyan Ahmed , Stephen Kobourov , Myroslav Kryven

We assume some standard choices for the branch cuts of a group of functions and consider the problem of then calculating the branch cuts of expressions involving those functions. Typical examples include the addition formulae for inverse…

Mathematical Software · Computer Science 2013-07-10 Matthew England , Russell Bradford , James H. Davenport , David Wilson

We analyze integer linear programs which we obtain after discretizing two-dimensional subproblems arising from a trust-region algorithm for mixed integer optimal control problems with total variation regularization. We discuss NP-hardness…

Optimization and Control · Mathematics 2025-03-07 Paul Manns , Marvin Severitt

Seeking tighter relaxations of combinatorial optimization problems, semidefinite programming is a generalization of linear programming that offers better bounds and is still polynomially solvable. Yet, in practice, a semidefinite program is…

Optimization and Control · Mathematics 2023-11-17 Daniel Porumbel

For each integer $k \in [0,9]$, we count the number of plane cubic curves defined over a finite field $\mathbb{F}_q$ that do not share a common component and intersect in exactly $k\ \mathbb{F}_q$-rational points. We set this up as a…

Number Theory · Mathematics 2022-01-24 Nathan Kaplan , Vlad Matei

We define quasiconvex programming, a form of generalized linear programming in which one seeks the point minimizing the pointwise maximum of a collection of quasiconvex functions. We survey algorithms for solving quasiconvex programs either…

Computational Geometry · Computer Science 2007-05-23 David Eppstein

We provide a polynomial time cutting plane algorithm based on split cuts to solve integer programs in the plane. We also prove that the split closure of a polyhedron in the plane has polynomial size.

Optimization and Control · Mathematics 2020-11-12 Amitabh Basu , Michele Conforti , Marco Di Summa , Hongyi Jiang

An analytic center cutting plane method is an iterative algorithm based on the computation of analytic centers. In this paper, we propose some analytic center cutting plane methods for solving quasimonotone or pseudomonotone variational…

Optimization and Control · Mathematics 2018-11-12 Renying Zeng

We derive a closed form description of the convex hull of mixed-integer bilinear covering set with bounds on the integer variables. This convex hull description is determined by considering some orthogonal disjunctive sets defined in a…

Optimization and Control · Mathematics 2019-03-05 Hamidur Rahman , Ashutosh Mahajan

The cut polytope ${\rm CUT}(n)$ is the convex hull of the cut vectors in a complete graph with vertex set $\{1,\ldots,n\}$. It is well known in the area of combinatorial optimization and recently has also been studied in a direct relation…

Discrete Mathematics · Computer Science 2018-12-11 Nevena Maric

We propose a successive generation of cutting inequalities for binary quadratic optimization problems. Multiple cutting inequalities are successively generated for the convex hull of the set of the optimal solutions $\subset \{0, 1\}^n$,…

Optimization and Control · Mathematics 2021-07-20 Sunyoung Kim , Masakazu Kojima

In this paper, we study cut generating functions for conic sets. Our first main result shows that if the conic set is bounded, then cut generating functions for integer linear programs can easily be adapted to give the integer hull of the…

Optimization and Control · Mathematics 2016-11-15 Asteroide Santana , Santanu S. Dey

A quadratically constrained quadratic program (QCQP) is an optimization problem in which the objective function is a quadratic function and the feasible region is defined by quadratic constraints. Solving non-convex QCQP to global…

Optimization and Control · Mathematics 2018-12-27 Asteroide Santana , Santanu S. Dey

We study a mixed integer linear program with m integer variables and k non-negative continuous variables in the form of the relaxation of the corner polyhedron that was introduced by Andersen, Louveaux, Weismantel and Wolsey [Inequalities…

Optimization and Control · Mathematics 2011-07-27 Amitabh Basu , Robert Hildebrand , Matthias Köppe

We consider mixed integer linear programs where free integer variables are expressed in terms of nonnegative continuous variables. When this model only has two integer variables, Dey and Louveaux characterized the intersection cuts that…

Optimization and Control · Mathematics 2017-01-25 Amitabh Basu , Gerard Cornuejols , Francois Margot

The shortest bibranching problem is a common generalization of the minimum-weight edge cover problem in bipartite graphs and the minimum-weight arborescence problem in directed graphs. For the shortest bibranching problem, an efficient…

Combinatorics · Mathematics 2018-07-23 Kazuo Murota , Kenjiro Takazawa

A binary matrix is called an s-separable code for the disjunctive multiple-access channel (disj-MAC) if Boolean sums of sets of s columns are all distinct. The well-known issue of the combinatorial coding theory is to obtain upper and lower…

Information Theory · Computer Science 2018-08-03 A. G. Dyachkov , N. Polyanskii , V. Shchukin , I. Vorobyev

We present a finitely convergent cutting-plane algorithm for solving a general mixed-integer convex program given an oracle for solving a general convex program. This method is extended to solve a family of two-stage mixed-integer convex…

Optimization and Control · Mathematics 2025-09-30 Fengqiao Luo , Shibshankar Dey , Sanjay Mehrotra

Many industries widely adopted hub networks these days. Managing logistics, transportation, and distribution requires a delicate balance to ensure seamless operations within this network. Hub network promotes cost-effective routing through…

Optimization and Control · Mathematics 2024-08-08 Saikat Mukherjee , Prasanna Ramamoorthy , Navneet Vidyarthi