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Quadratic optimization with switching variables: the convex hull for n=2

Mathematical programming, 2021-08, Vol.188 (2), p.421-441

2021

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The trust region subproblem with non-intersecting linear constraints

Mathematical programming, 2015-02, Vol.149 (1-2), p.253-264

2015

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Relaxing the optimality conditions of box QP

Computational optimization and applications, 2011-04, Vol.48 (3), p.653-673

2011

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A robust Lagrangian-DNN method for a class of quadratic optimization problems

Computational optimization and applications, 2017-04, Vol.66 (3), p.453-479

2017

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A sensitive-eigenvector based global algorithm for quadratically constrained quadratic programming

Journal of global optimization, 2019-02, Vol.73 (2), p.371-388

2019

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A note on completely positive relaxations of quadratic problems in a multiobjective framework

Journal of global optimization, 2022-03, Vol.82 (3), p.615-626

2022

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Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods

Mathematical programming, 2019-11, Vol.178 (1-2), p.215-262

2019

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Semidefinite programming versus the reformulation-linearization technique for nonconvex quadratically constrained quadratic programming

Journal of global optimization, 2009-03, Vol.43 (2-3), p.471-484

Anstreicher, Kurt M.

2009

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Role of sparsity and structure in the optimization landscape of non-convex matrix sensing

Mathematical programming, 2022-05, Vol.193 (1), p.75-111

2022

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Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization

Journal of optimization theory and applications, 2023-04, Vol.197 (1), p.252-276

2023

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A proximal DC approach for quadratic assignment problem

Computational optimization and applications, 2021-04, Vol.78 (3), p.825-851

2021

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On duality gap in binary quadratic programming

Journal of global optimization, 2012-06, Vol.53 (2), p.255-269

2012

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Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods

Journal of optimization theory and applications, 2019-03, Vol.180 (3), p.964-992

2019

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Nonconvex quadratically constrained quadratic programming: best D.C. decompositions and their SDP representations

Journal of global optimization, 2011-08, Vol.50 (4), p.695-712

2011

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Globally solving nonconvex quadratic programming problems with box constraints via integer programming methods

Mathematical programming computation, 2018-09, Vol.10 (3), p.333-382

2018

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A gentle, geometric introduction to copositive optimization

Mathematical programming, 2015-06, Vol.151 (1), p.89-116

Burer, Samuel

2015

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Branch and cut algorithms for detecting critical nodes in undirected graphs

Computational optimization and applications, 2012-12, Vol.53 (3), p.649-680

2012

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A framework of constraint preserving update schemes for optimization on Stiefel manifold

Mathematical programming, 2015-11, Vol.153 (2), p.535-575

2015

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Maximum-entropy sampling and the Boolean quadric polytope

Journal of global optimization, 2018-12, Vol.72 (4), p.603-618

Anstreicher, Kurt M.

2018

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Estimation and clustering for partially heterogeneous single index model

Statistical papers (Berlin, Germany), 2021-12, Vol.62 (6), p.2529-2556

2021

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Sparse conic reformulation of structured QCQPs based on copositive optimization with applications in stochastic optimization

Journal of global optimization, 2023-09, Vol.87 (1), p.221-254

Gabl, Markus

2023

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On zero duality gap in nonconvex quadratic programming problems

Journal of global optimization, 2012-02, Vol.52 (2), p.229-242

2012

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Solutions to quadratic minimization problems with box and integer constraints

Journal of global optimization, 2010-07, Vol.47 (3), p.463-484

2010

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MADAM: a parallel exact solver for max-cut based on semidefinite programming and ADMM

Computational optimization and applications, 2021-11, Vol.80 (2), p.347-375

2021

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Solving Max-Cut to optimality by intersecting semidefinite and polyhedral relaxations

Mathematical programming, 2010-02, Vol.121 (2), p.307-335

2010

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Quadratic optimization with switching variables: the convex hull for n=2

The trust region subproblem with non-intersecting linear constraints

Relaxing the optimality conditions of box QP

A robust Lagrangian-DNN method for a class of quadratic optimization problems

A sensitive-eigenvector based global algorithm for quadratically constrained quadratic programming

A note on completely positive relaxations of quadratic problems in a multiobjective framework

Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods

Semidefinite programming versus the reformulation-linearization technique for nonconvex quadratically constrained quadratic programming

Role of sparsity and structure in the optimization landscape of non-convex matrix sensing

Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization

A proximal DC approach for quadratic assignment problem

On duality gap in binary quadratic programming

Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods

Nonconvex quadratically constrained quadratic programming: best D.C. decompositions and their SDP representations

Globally solving nonconvex quadratic programming problems with box constraints via integer programming methods

A gentle, geometric introduction to copositive optimization

Branch and cut algorithms for detecting critical nodes in undirected graphs

A framework of constraint preserving update schemes for optimization on Stiefel manifold

Maximum-entropy sampling and the Boolean quadric polytope

Estimation and clustering for partially heterogeneous single index model

Sparse conic reformulation of structured QCQPs based on copositive optimization with applications in stochastic optimization

On zero duality gap in nonconvex quadratic programming problems

Solutions to quadratic minimization problems with box and integer constraints

MADAM: a parallel exact solver for max-cut based on semidefinite programming and ADMM

Solving Max-Cut to optimality by intersecting semidefinite and polyhedral relaxations

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