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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
Date Issue: 1990
Appears in Collections:Unicamp - Artigos e Outros Documentos

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