On exact and inexact RLT and SDP-RLT relaxations of quadratic programs with box constraints
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Publication:6618144
DOI10.1007/s10898-024-01407-yMaRDI QIDQ6618144
Publication date: 14 October 2024
Published in: Journal of Global Optimization (Search for Journal in Brave)
semidefinite relaxationreformulation-linearization techniqueconvex underestimatorquadratic programming with box constraints
Cites Work
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- Exactness conditions for an SDP relaxation of the extended trust region problem
- Trust-region problems with linear inequality constraints: exact SDP relaxation, global optimality and robust optimization
- Analysis of copositive optimization based linear programming bounds on standard quadratic optimization
- Semidefinite programming versus the reformulation-linearization technique for nonconvex quadratically constrained quadratic programming
- The Boolean quadratic polytope: Some characteristics, facets and relatives
- Quadratic programming with one negative eigenvalue is NP-hard
- A global optimization algorithm for polynomial programming problems using a reformulation-linearization technique
- A polyhedral approach for nonconvex quadratic programming problems with box constraints
- Exact solutions of some nonconvex quadratic optimization problems via SDP and SOCP relaxa\-tions
- Globally solving nonconvex quadratic programming problems with box constraints via integer programming methods
- A polyhedral branch-and-cut approach to global optimization
- On convex relaxations for quadratically constrained quadratic programming
- An alternative perspective on copositive and convex relaxations of nonconvex quadratic programs
- On the complexity of finding a local minimizer of a quadratic function over a polytope
- Exact SDP relaxations of quadratically constrained quadratic programs with forest structures
- On the tightness of SDP relaxations of QCQPs
- On standard quadratic programs with exact and inexact doubly nonnegative relaxations
- Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs
- ANTIGONE: algorithms for coNTinuous/Integer global optimization of nonlinear equations
- Computable representations for convex hulls of low-dimensional quadratic forms
- Julia: A Fresh Approach to Numerical Computing
- On Nonconvex Quadratic Programming with Box Constraints
- The polynomial solvability of convex quadratic programming
- Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems
- Semidefinite Programming
- On Valid Inequalities for Quadratic Programming with Continuous Variables and Binary Indicators
- Computationally Related Problems
- Exactness of Semidefinite Relaxations for Nonlinear Optimization Problems with Underlying Graph Structure
- A Second-Order Cone Based Approach for Solving the Trust-Region Subproblem and Its Variants
- On Connections Between Zero-One Integer Programming and Concave Programming Under Linear Constraints
- Convex Analysis
- Optimality conditions for quadratic programming
- Introduction to global optimization.
- JuMP 1.0: recent improvements to a modeling language for mathematical optimization
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