Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/99192
Type: Artigo de periódico
Title: A Numerically Stable Reduced-gradient Type Algorithm For Solving Large-scale Linearly Constrained Minimization Problems
Author: Gomes H.S.
Martinez J.M.
Abstract: In this paper we present a reduced-gradient type algorithm for solving large-scale linearly constrained minimization problems. During each iteration of the algorithm linear systems are solved using a preconditioned conjugate-gradient scheme. The preconditioning scheme uses orthogonal transformations, thus providing numerical stability. The total storage used by the algorithm may be predicted before beginning the calculations. We present some numerical experiments which confirm the reliability of the algorithm. © 1991.
Editor: 
Rights: fechado
Identifier DOI: 10.1016/0305-0548(91)90038-S
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0026020466&partnerID=40&md5=51736c9c0a0f07403b023f3a2707567c
Date Issue: 1991
Appears in Collections:Unicamp - Artigos e Outros Documentos

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