Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/66073
Type: Artigo de periódico
Title: New convergence results on an algorithm for norm constrained regularization and related problems
Author: Martinez, JM
Santos, SA
Abstract: The constrained least-squares regularization of nonlinear ill-posed problems is a nonlinear programming problem for which trust-region methods have been developed. In this paper we complement the convergence theory of one of those methods showing that, under suitable hypotheses, local (superlinear or quadratic) convergence holds and every accumulation point is second-order stationary.
Subject: trust-region methods
regularization
ill conditioning
ill-posed problems
constrained minimization
fixed-point quasi-Newton methods
Country: França
Editor: Gauthier-villars
Rights: aberto
Date Issue: 1997
Appears in Collections:Unicamp - Artigos e Outros Documentos

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