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Global Optimization with Polynomials and the Problem of Moments
Jean Bernard Lasserre (Laboratoire d'Analyse et d'Architecture des Systèmes)
SIAM Journal on Optimization
DOI: 10.1137/s1052623400366802 (Mathematics)
License: not stated (all rights reserved)
Abstract: We consider the problem of finding the unconstrained global minimum of a real-valued polynomial p(x): {\mathbb{R}}^n\to {\mathbb{R}}$, as well as the global minimum of p(x), in a compact set K defined by polynomial inequalities. It is shown that this problem reduces to solving an (often finite) sequence of convex linear matrix inequality (LMI) problems. A notion of Karush--Kuhn--Tucker polynomials is introduced in a global optimality condition. Some illustrative examples are provided.
Published on 01 Jan. 2001