In 2013, Buchheim and Wiegele introduced a quadratic optimisation problem, in which the domain of each variable is a closed subset of the reals. This problem includes several other important problems as special cases. We study some convex sets and polyhedra associated with the problem, and derive several families of strong valid inequalities. We also present some encouraging computational results, obtained by applying our inequalities to (a) integer quadratic programs with box constraints and (b) portfolio optimisation problems with semi-continuous variables
My work focuses on cutting planes technology in Mixed Integer Programming. I explore novel classes o...
We consider a parametric convex quadratic programming, CQP, relaxation for the quadratic knapsack pr...
Laurent and Poljak introduced a very general class of valid linear inequalities, called gap inequali...
In 2013, Buchheim and Wiegele introduced a quadratic optimisation problem, in which the domain of ea...
At the intersection of combinatorial and nonlinear optimization, quadratic programming (QP) plays an...
preprintWe consider the exact solution of problem $(QP)$ that consists in minimizing a quadratic fun...
Many problems in economics, statistics and numerical analysis can be formulated as the optimization ...
In Chapter 2 of the thesis, we study cut generating functions for conic sets. Our first main result ...
In the literature on the quadratic 0-1 knapsack problem, several alternative ways have been given to...
International audienceThe class of mixed-integer quadratically constrained quadratic programs (QCQP)...
International audienceIn this paper we introduce new semidefinite programming relaxations to box-con...
We propose a deterministic global optimization approach, whose novel contributions are rooted in the...
We consider problem (QP) of minimizing a quadratic function subject to linear or quadratic constrain...
Non-convex quadratic programming with box constraints is a fundamental problem in the global optimis...
We model the cardinality-constrained portfolio problem using semidefinite matrices and investigate a...
My work focuses on cutting planes technology in Mixed Integer Programming. I explore novel classes o...
We consider a parametric convex quadratic programming, CQP, relaxation for the quadratic knapsack pr...
Laurent and Poljak introduced a very general class of valid linear inequalities, called gap inequali...
In 2013, Buchheim and Wiegele introduced a quadratic optimisation problem, in which the domain of ea...
At the intersection of combinatorial and nonlinear optimization, quadratic programming (QP) plays an...
preprintWe consider the exact solution of problem $(QP)$ that consists in minimizing a quadratic fun...
Many problems in economics, statistics and numerical analysis can be formulated as the optimization ...
In Chapter 2 of the thesis, we study cut generating functions for conic sets. Our first main result ...
In the literature on the quadratic 0-1 knapsack problem, several alternative ways have been given to...
International audienceThe class of mixed-integer quadratically constrained quadratic programs (QCQP)...
International audienceIn this paper we introduce new semidefinite programming relaxations to box-con...
We propose a deterministic global optimization approach, whose novel contributions are rooted in the...
We consider problem (QP) of minimizing a quadratic function subject to linear or quadratic constrain...
Non-convex quadratic programming with box constraints is a fundamental problem in the global optimis...
We model the cardinality-constrained portfolio problem using semidefinite matrices and investigate a...
My work focuses on cutting planes technology in Mixed Integer Programming. I explore novel classes o...
We consider a parametric convex quadratic programming, CQP, relaxation for the quadratic knapsack pr...
Laurent and Poljak introduced a very general class of valid linear inequalities, called gap inequali...