A sufficient conditions for global quadratic optimization

Authors

  • Mourad Naffouti Faculty of Sciences of Tunis, University of Tunis El Manar, Tunisia
  • Abdeljelil Baccari The Higher National Engineering School, University of Tunis, Tunisia

Abstract

This paper is devoted to global optimality conditions for quadratic optimization problems in a real space of dimension n. More precisely, we are concerned with nonconvex quadratic optimization problems with linear constraints. We present some sufficient conditions of global optimality for such problems subject to linear equality and inequality constraints. We prove that when the set of Karush-Kuhn-Tucker triplets of this problem is convex, then a local minimizer is global

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Published

2020-07-02

Issue

Volume 11 (2020), Number 1

Section

CRORR Journal Regular Issue

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