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dc.contributor.authorBirgin, Ernesto G.-
dc.contributor.authorGardenghi, John Lenon Cardoso-
dc.contributor.authorMarcondes, Diaulas S.-
dc.contributor.authorMartínez, José Mario-
dc.date.accessioned2025-03-14T16:21:21Z-
dc.date.available2025-03-14T16:21:21Z-
dc.date.issued2025-02-17-
dc.identifier.citationBIRGIN, Ernesto G. et al. Accelerated derivative-free spectral residual method for nonlinear systems of equations. RAIRO - Operations Research, [S. l.], v. 59, n. 1, p. 609-624, Jan./Feb. 2025. DOI: https://doi.org/10.1051/ro/2024234. Disponível em: https://www.rairo-ro.org/articles/ro/abs/2025/01/ro240062/ro240062.html. Acesso em: 14 mar. 2025.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/51889-
dc.language.isoengpt_BR
dc.publisherEDP Sciencespt_BR
dc.rightsAcesso Abertopt_BR
dc.titleAccelerated derivative-free spectral residual method for nonlinear systems of equationspt_BR
dc.typeArtigopt_BR
dc.subject.keywordMétodos de resíduos espectraispt_BR
dc.subject.keywordEquações não-linearespt_BR
dc.subject.keywordAlgoritmospt_BR
dc.rights.licenseThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.pt_BR
dc.identifier.doihttps://doi.org/10.1051/ro/2024234pt_BR
dc.relation.publisherversionhttps://www.rairo-ro.org/component/article?access=doi&doi=10.1051/ro/2024234pt_BR
dc.description.abstract1Many continuous models of natural phenomena require the solution of large-scale nonlinear systems of equations. For example, the discretization of many partial differential equations, which are widely used in physics, chemistry, and engineering, requires the solution of subproblems in which a nonlinear algebraic system has to be addressed, especially one in which stable implicit difference schemes are used. Spectral residual methods are powerful tools for solving nonlinear systems of equations without derivatives. In a recent paper [Birgin and Martínez, SIAM J. Numer. Anal. 60 (2022) 3145–3180], it was shown that an acceleration technique based on the Sequential Secant Method can greatly improve its efficiency and robustness. In the present work, an R implementation of the method is presented. Numerical experiments with a widely used test bed compare the presented approach with its plain (i.e., non-accelerated) version that is part of the R package BB. Additional numerical experiments compare the proposed method with NITSOL, a state-of-the-art solver for nonlinear systems. These comparisons show that the acceleration process greatly improves the robustness of its counterpart included in the existing R package. As a by-product, an interface is provided between R and the consolidated CUTEst collection, which contains over a thousand nonlinear programming problems of all types and represents a standard for evaluating the performance of optimization methods.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-7466-7663pt_BR
dc.contributor.affiliationUniversity of São Paulo, Institute of Mathematics and Statistics, Department of Computer Sciencept_BR
dc.contributor.affiliationUniversity of Brasília, Faculty of Sciences and Technologies in Engineeringpt_BR
dc.contributor.affiliationUniversity of São Paulo, Institute of Mathematics and Statistics, Department of Applied Mathematicspt_BR
dc.contributor.affiliationState University of Campinas, Institute of Mathematics, Statistics and Scientific Computing, Department of Applied Mathematicspt_BR
dc.description.unidadeFaculdade de Ciências e Tecnologias em Engenharia (FCTE) – Campus UnB Gamapt_BR
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