A bilinear formulation for vector sparsity optimization
Signal Processing
Box-constrained quadratic programs with fixed charge variables
Journal of Global Optimization
Computational Optimization and Applications
Disjunctive cuts for non-convex mixed integer quadratically constrained programs
IPCO'08 Proceedings of the 13th international conference on Integer programming and combinatorial optimization
Outlier detection and least trimmed squares approximation using semi-definite programming
Computational Statistics & Data Analysis
Computational Optimization and Applications
Relaxing the optimality conditions of box QP
Computational Optimization and Applications
Convexification techniques for linear complementarity constraints
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
An exact solution method for unconstrained quadratic 0---1 programming: a geometric approach
Journal of Global Optimization
On linear programs with linear complementarity constraints
Journal of Global Optimization
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By reformulating quadratic programs using necessary optimality conditions, we obtain a linear program with complementarity constraints. For the case where the only constraints are bounds on the variables, we study a relaxation based on a subset of the optimality conditions. By characterizing its convex hull, we obtain a large class of valid inequalities. These inequalities are used in a branch-and-cut scheme, see [13].