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Recently, we proposed a class of inequalities called lifted bilinear cover inequalities, which are second-order cone representable convex inequalities, and are valid for a set described by a separable bilinear constraint together with…

Optimization and Control · Mathematics 2022-08-02 Xiaoyi Gu , Santanu S. Dey , Jean-Philippe P. Richard

In this paper, we investigate the mixed-integer nonlinear set with box constraints $X = \{(w,x)\in R\times Z^n:w\leq f(a^Tx),0\leq x\leq \mu\}$, where $f$ is a univariate concave function, $a\in R^n$, and $\mu\in Z^n_{++}$. This set arises…

Optimization and Control · Mathematics 2026-01-27 Keyan Li , Yan-Ru Wang , Wei-Kun Chen , Yu-Hong Dai

Chance-constrained programming is a widely used framework for decision-making under uncertainty, yet its mixed-integer reformulations involve nonconvex mixing sets with a knapsack constraint, leading to weak relaxations and computational…

Optimization and Control · Mathematics 2025-10-22 Danial Davarnia , Hamed Rahimian

This paper contributes to the theory of cutting planes for mixed integer linear programs (MILPs). Minimal valid inequalities are well understood for a relaxation of an MILP in tableau form where all the nonbasic variables are continuous;…

Optimization and Control · Mathematics 2017-01-25 Amitabh Basu , Manoel Campelo , Michele Conforti , Gerard Cornuejols , Giacomo Zambelli

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 the strength of convex relaxations obtained by convexification of aggregation of constraints for a set $S$ described by two bilinear bipartite equalities. Aggregation is the process of rescaling the original…

Optimization and Control · Mathematics 2024-10-21 Santanu S Dey , Dahye Han , Yang Wang

In this paper, we investigate the polyhedral structure of two submodular sets with generalized upper bound (GUB) constraints, which arise as important substructures in various real-world applications. We derive a class of strong valid…

Optimization and Control · Mathematics 2026-01-27 Weikang Qian , Keyan Li , Wei-Kun Chen , Yu-Hong Dai

Bilevel programs are optimization problems where some variables are solutions to optimization problems themselves, and they arise in a variety of control applications, including: control of vehicle traffic networks, inverse reinforcement…

Optimization and Control · Mathematics 2017-09-27 Aurélien Ouattara , Anil Aswani

This two-part paper is concerned with the problem of minimizing a linear objective function subject to a bilinear matrix inequality (BMI) constraint. In this part, we first consider a family of convex relaxations which transform BMI…

Optimization and Control · Mathematics 2018-09-27 Mohsen Kheirandishfard , Fariba Zohrizadeh , Ramtin Madani

We present a coordinate ascent method for a class of semidefinite programming problems that arise in non-convex quadratic integer optimization. These semidefinite programs are characterized by a small total number of active constraints and…

Optimization and Control · Mathematics 2020-07-13 Christoph Buchheim , Maribel Montenegro , Angelika Wiegele

The Calder\'on problem consists in recovering an unknown coefficient of a partial differential equation from boundary measurements of its solution. These measurements give rise to a highly nonlinear forward operator. As a consequence, the…

Analysis of PDEs · Mathematics 2025-07-02 Giovanni S. Alberti , Romain Petit , Simone Sanna

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

Symmetry is the essential element of lifted inference that has recently demon- strated the possibility to perform very efficient inference in highly-connected, but symmetric probabilistic models models. This raises the question, whether…

Artificial Intelligence · Computer Science 2016-06-15 Martin Mladenov , Leonard Kleinhans , Kristian Kersting

Bilevel optimization formulates hierarchical decision-making processes that arise in many real-world applications such as in pricing, network design, and infrastructure defense planning. In this paper, we consider a class of bilevel…

Optimization and Control · Mathematics 2021-04-20 Geunyeong Byeon , Pascal Van Hentenryck

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 consider in this paper a class of semi-continuous quadratic programming problems which arises in many real-world applications such as production planning, portfolio selection and subset selection in regression. We propose a…

Optimization and Control · Mathematics 2017-08-07 Baiyi Wu , Xiaoling Sun , Duan Li , Xiaojin Zheng

The Vertex Separator Problem for a graph is to find the smallest collection of vertices whose removal breaks the graph into two disconnected subsets that satisfy specified size constraints. In the paper 10.1016/j.ejor.2014.05.042, the…

Data Structures and Algorithms · Computer Science 2016-07-19 William W. Hager , James T. Hungerford , Ilya Safro

The well-known sequentially lifted cover inequality is widely employed in solving mixed integer programs. However, it is still an open question whether a sequentially lifted cover inequality can be computed in polynomial time for a given…

Optimization and Control · Mathematics 2019-03-12 Wei-Kun Chen , Yu-Hong Dai

We consider simple bilevel optimization problems where the goal is to compute among the optimal solutions of a composite convex optimization problem, one that minimizes a secondary objective function. Our main contribution is threefold. (i)…

Optimization and Control · Mathematics 2025-04-14 Sepideh Samadi , Daniel Burbano , Farzad Yousefian

We develop a spatial branch-and-cut approach for nonconvex Quadratically Constrained Quadratic Programs with bounded complex variables (CQCQP). Linear valid inequalities are added at each node of the search tree to strengthen semidefinite…

Optimization and Control · Mathematics 2017-05-26 Chen Chen , Alper Atamturk , Shmuel S. Oren
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