
-Let (QP) be an integer quadratic program that consists in minimizing a quadratic functionsubject to linear constraints. To solve (QP), we reformulate it into an equivalent program with a convex objective function, and we use a Mixed Integer Quadratic Programming solver. This reformulation, called IQCR, is optimal in a certain sense from the continuous relaxation bound point of view. It is deduced from the solution of a SDP relaxation of (QP). Computational experiments are reported.
Programmation quadratique, Convex reformulation, Expériences, Programmation semi-définie, Reformulation convexe, -General integer programming, Semi-definite programming, Quadratic programming, Experiments, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], -Programmation en nombres entiers Généralités
Programmation quadratique, Convex reformulation, Expériences, Programmation semi-définie, Reformulation convexe, -General integer programming, Semi-definite programming, Quadratic programming, Experiments, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], -Programmation en nombres entiers Généralités
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