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Related papers: A geometric approach to cut-generating functions

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This is a survey on the infinite group problem, an infinite-dimensional relaxation of integer linear optimization problems introduced by Ralph Gomory and Ellis Johnson in their groundbreaking papers titled "Some continuous functions related…

Optimization and Control · Mathematics 2017-01-03 Amitabh Basu , Robert Hildebrand , Matthias Köppe

Using an interface inserted in a background mesh is an alternative way of constructing a complex geometrical shape with a relative low meshing efforts. However, this process may require special treatment of elements cut by the interface.…

Computational Engineering, Finance, and Science · Computer Science 2025-09-26 Guilherme Henrique Teixeira , Michael Loibl , Benjamin Marussig

We investigate new methods for generating Lagrangian cuts to solve two-stage stochastic integer programs. Lagrangian cuts can be added to a Benders reformulation, and are derived from solving single scenario integer programming subproblems…

Optimization and Control · Mathematics 2022-04-07 Rui Chen , James Luedtke

Beginning with the projectively invariant method for linear programming, interior point methods have led to powerful algorithms for many difficult computing problems, in combinatorial optimization, logic, number theory and non-convex…

Numerical Analysis · Computer Science 2014-12-11 Narendra Karmarkar

Cutting plane methods, particularly outer approximation, are a well-established approach for solving nonlinear discrete optimization problems without relaxing the integrality of decision variables. While powerful in theory, their…

Optimization and Control · Mathematics 2025-11-04 Hòa T. Bùi , Alberto De Marchi

We introduce a novel technique to generate Benders' cuts from a conic relaxation ("corner") derived from a basis of a higher-dimensional polyhedron that we aim to outer approximate in a lower-dimensional space. To generate facet-defining…

Optimization and Control · Mathematics 2025-10-02 Matheus J. Ota , Ricardo Fukasawa , Aleksandr M. Kazachkov

We introduce $\mathcal{V}$-polyhedral disjunctive cuts (VPCs) for generating valid inequalities from general disjunctions. Cuts are critical to integer programming solvers, but the benefit from many families is only realized when the cuts…

Optimization and Control · Mathematics 2024-02-20 Egon Balas , Aleksandr M. Kazachkov

Geometric number systems, obtained by extending the real number system to include new anticommuting square roots of +1 and -1, provide a royal road to higher mathematics by largely sidestepping the tedious languages of tensor analysis and…

General Mathematics · Mathematics 2017-07-21 Garret Sobczyk

Cutting planes are a crucial component of state-of-the-art mixed-integer programming solvers, with the choice of which subset of cuts to add being vital for solver performance. We propose new distance-based measures to qualify the value of…

Optimization and Control · Mathematics 2023-02-01 Mark Turner , Timo Berthold , Mathieu Besançon , Thorsten Koch

We present a version of GMI (Gomory mixed-integer) cuts in a way so that they are derived with respect to a "dual form" mixed-integer optimization problem and applied on the standard-form primal side as columns, using the primal simplex…

Optimization and Control · Mathematics 2018-10-18 Jon Lee , Angelika Wiegele

We survey the development of Clifford's geometric algebra and some of its engineering applications during the last 15 years. Several recently developed applications and their merits are discussed in some detail. We thus hope to clearly…

Rings and Algebras · Mathematics 2013-05-27 Eckhard Hitzer , Tohru Nitta , Yasuaki Kuroe

Symmetry in integer programming causes redundant search and is often handled with symmetry breaking constraints that remove as many equivalent solutions as possible. We propose an algebraic method which allows to generate a random family of…

Symbolic Computation · Computer Science 2026-02-10 Madalina Erascu , Johannes Middeke

This paper is concerned with the exact solution of mixed-integer programs (MIPs) over the rational numbers, i.e., without any roundoff errors and error tolerances. Here, one computational bottleneck that should be avoided whenever possible…

Optimization and Control · Mathematics 2023-11-08 Leon Eifler , Ambros Gleixner

The present paper suggests a new approach for geometric representation of 3D spatial models and provides a new compression algorithm for 3D meshes, which is based on mathematical theory of convex geometry. In our approach we represent a 3D…

Computational Geometry · Computer Science 2013-08-13 Rafik Aramyan , Gagik Mkrtchyan , Arman Karapetyan

In mixed-integer programming (MIP) solvers, cutting planes are essential for Branch-and-Cut (B&C) algorithms as they reduce the search space and accelerate the solving process. Traditional methods rely on hard-coded heuristics for cut plane…

Artificial Intelligence · Computer Science 2025-03-21 Shuli Zeng , Sijia Zhang , Shaoang Li , Feng Wu , Xiang-Yang Li

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

In a series of papers, George Andrews and various coauthors successfully revitalized seemingly forgotten, powerful machinery based on MacMahon's $\Omega$ operator to systematically compute generating functions $\sum_{\la \in P}…

Number Theory · Mathematics 2013-10-07 Matthias Beck , Benjamin Braun , Nguyen Le

In this expository article we give an introduction to Ehrhart theory, i.e., the theory of integer points in polyhedra, and take a tour through its applications in enumerative combinatorics. Topics include geometric modeling in…

Combinatorics · Mathematics 2014-07-23 Felix Breuer

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

We represent planning as a set of loosely coupled network flow problems, where each network corresponds to one of the state variables in the planning domain. The network nodes correspond to the state variable values and the network arcs…

Artificial Intelligence · Computer Science 2011-11-02 Menkes Hector Louis van den Briel , Thomas Vossen , Subbarao Kambhampati