Sufficient Global Optimality Conditions for Non-convex Quadratic Minimization Problems With Box Constraints

In this paper we establish conditions which ensure that a feasible point is a global minimizer of a quadratic minimization problem subject to box constraints or binary constraints. In particular, we show that our conditions provide a complete characterization of global optimality for non-convex weig...

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Veröffentlicht in:	Journal of global optimization 2006-11, Vol.36 (3), p.471-481
Hauptverfasser:	Jeyakumar, V., Rubinov, A. M., Wu, Z. Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Euclidean space Mathematical functions Quadratic programming
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