Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/99009
Type: Artigo de periódico
Title: An Algorithm For Solving Nonlinear Least-squares Problems With A New Curvilinear Search
Author: Martinez J.M.
Santos R.F.
Abstract: We propose a modification of an algorithm introduced by Martínez (1987) for solving nonlinear least-squares problems. Like in the previous algorithm, after the calculation of an approximated Gauss-Newton direction d, we obtain the next iterate on a two-dimensional subspace which includes d. However, we simplify the process of searching the new point, and we define the plane using a scaled gradient direction, instead of the original gradient. We prove that the new algorithm has global convergence properties. We present some numerical experiments. © 1990 Springer-Verlag.
Editor: Springer-Verlag
Rights: fechado
Identifier DOI: 10.1007/BF02247967
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0025210263&partnerID=40&md5=c77846bb3eb6141d8c4e22db021670f4
Date Issue: 1990
Appears in Collections:Unicamp - Artigos e Outros Documentos

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