Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/53941
Type: Artigo de periódico
Title: A trust region method for minimization of nonsmooth functions with linear constraints
Author: Martinez, JM
Moretti, AC
Abstract: We introduce a trust region algorithm for minimization of nonsmooth functions with linear constraints. At each iteration, the objective function is approximated by a model function that satisfies a set of assumptions stated recently by Qi and Sun in the context of unconstrained nonsmooth optimization. The trust region iteration begins with the resolution of an ''easy problem'', as in recent works of Martinet and Santos and Friedlander, Martinet and Santos, for smooth constrained optimization. In practical implementations we use the infinity norm for defining the trust region, which fits well with the domain of the problem. We prove global convergence and report numerical experiments related to a parameter estimation problem.
Subject: trust regions
nonsmooth functions
constrained optimization
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1007/BF02614392
Date Issue: 1997
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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