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Related papers: Intersection disjunctions for reverse convex sets

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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

Balas introduced disjunctive cuts in the 1970s for mixed-integer linear programs. Several recent papers have attempted to extend this work to mixed-integer conic programs. In this paper we study the structure of the convex hull of a…

Optimization and Control · Mathematics 2014-05-01 Fatma Kilinc-Karzan , Sercan Yildiz

We consider the method of alternating projections for finding a point in the intersection of two closed sets, possibly nonconvex. Assuming only the standard transversality condition (or a weaker version thereof), we prove local linear…

Optimization and Control · Mathematics 2016-08-12 D. Drusvyatskiy , A. D. Ioffe , A. S. Lewis

We address the issue of generating cutting planes for mixed integer programs from multiple rows of the simplex tableau with the tools of disjunctive programming. A cut from q rows of the simplex tableau is an intersection cuts from a…

Combinatorics · Mathematics 2012-06-28 Egon Balas , Andrea Qualizza

We propose algorithms and software for computing projections onto the intersection of multiple convex and non-convex constraint sets. The software package, called SetIntersectionProjection, is intended for the regularization of inverse…

Mathematical Software · Computer Science 2019-03-08 Bas Peters , Felix J. Herrmann

We study a combinatorial notion where given a set of lattice points one takes the set of all sums of subsets of a fixed size, and we ask if the given set comes from a convex lattice polytope whether the resulting set also comes from a…

Combinatorics · Mathematics 2021-08-03 Alexander Lemmens

We study the generalization of split, k-branch split, and intersection cuts from Mixed Integer Linear Programming to the realm of Mixed Integer Nonlinear Programming. Constructing such cuts requires calculating the convex hull of the…

Optimization and Control · Mathematics 2014-06-12 Sina Modaresi , Mustafa R. Kılınç , Juan Pablo Vielma

The subgradient projection iteration is a classical method for solving a convex inequality. Motivated by works of Polyak and of Crombez, we present and analyze a more general method for finding a fixed point of a cutter, provided that the…

Optimization and Control · Mathematics 2014-08-15 Heinz H. Bauschke , Caifang Wang , Xianfu Wang , Jia Xu

In this paper, we show that there is a close relation between consistency in a constraint network and set intersection. A proof schema is provided as a generic way to obtain consistency properties from properties on set intersection. This…

Artificial Intelligence · Computer Science 2011-10-12 R. H. C. Yap , Y. Zhang

Tree convex sets refer to a collection of sets such that each set in the collection is a subtree of a tree whose nodes are the elements of these sets. They extend the concept of row convex sets each of which is an interval over a total…

Data Structures and Algorithms · Computer Science 2009-06-03 Yuanlin Zhang , Forrest Sheng Bao

The intersection cut paradigm is a powerful framework that facilitates the generation of valid linear inequalities, or cutting planes, for a potentially complex set S. The key ingredients in this construction are a simplicial conic…

Optimization and Control · Mathematics 2019-12-02 Gonzalo Muñoz , Felipe Serrano

Polyhedral convex set optimization problems are the simplest optimization problems with set-valued objective function. Their role in set optimization is comparable to the role of linear programs in scalar optimization. Vector linear…

Optimization and Control · Mathematics 2024-01-26 Andreas Löhne

We study intersections of projective convex sets in the sense of Steinitz. In a projective space, an intersection of a nonempty family of convex sets splits into multiple connected components each of which is a convex set. Hence, such an…

Metric Geometry · Mathematics 2010-05-12 Takahisa Toda

We propose an enhancement to Benders decomposition (BD) that generates valid inequalities for the convex hull of the Benders reformulation, addressing the limitation that classical BD cuts are typically tight only for the continuous…

Optimization and Control · Mathematics 2026-05-19 Kaiwen Fang , Inho Sin , Geunyeong Byeon

This paper presents a selected tour through the theory and applications of lifts of convex sets. A lift of a convex set is a higher-dimensional convex set that projects onto the original set. Many convex sets have lifts that are…

Optimization and Control · Mathematics 2023-03-24 Hamza Fawzi , João Gouveia , Pablo A. Parrilo , James Saunderson , Rekha R. Thomas

We study the integrality gap of convex mixed-integer programs, that is, the difference between the optimal value of such a problem and the optimal value of its continuous relaxation. We study classes of convex sets whose associated…

Optimization and Control · Mathematics 2026-04-20 Burak Kocuk , Diego Moran Ramirez

This paper deals with retraction - intended as isomorphic embedding - in intersection types building left and right inverses as terms of a lambda calculus with a bottom constant. The main result is a necessary and sufficient condition two…

Logic in Computer Science · Computer Science 2017-02-09 Mario Coppo , Mariangiola Dezani-Ciancaglini , Alejandro Díaz-Caro , Ines Margaria , Maddalena Zacchi

A convex polyhedron, that is, a compact convex subset of $\mathbb{R}^3$ which is the intersection of finitely many closed half-spaces, can be rectified by taking the convex hull of the midpoints of the edges of the polyhedron. We derive…

Metric Geometry · Mathematics 2016-04-05 Samuel Reid

We study how the supporting hyperplanes produced by the projection process can complement the method of alternating projections and its variants for the convex set intersection problem. For the problem of finding the closest point in the…

Optimization and Control · Mathematics 2014-02-11 C. H. Jeffrey Pang

The problem of finding a point in the intersection of closed sets can be solved by the method of alternating projections and its variants. It was shown in earlier papers that for convex sets, the strategy of using quadratic programming (QP)…

Optimization and Control · Mathematics 2015-06-30 C. H. Jeffrey Pang
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