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A global hybrid derivative-free method for high-dimensional systems of nonlinear equations

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Resumo:This work concerns the numerical solution of high-dimensional systems of nonlinear equations, when derivatives are not available for use, but assuming that all functions defining the problem are continuously differentiable. A hybrid approach is taken, based on a derivative-free iterative method, organized in two phases. The first phase is defined by derivative-free versions of a fixed-point method that employs spectral parameters to define the steplength along the residual direction. The second phase consists on a matrix-free inexact Newton method that employs the Generalized Minimal Residual algorithm to solve the linear system that computes the search direction. This second phase will only take place if the first one fails to find a better point after a predefined number of reductions in the step size. In all stages, the criterion to accept a new point considers a nonmonotone decrease condition upon a merit function. Convergence results are established and the numerical performance is assessed through experiments in a set of problems collected from the literature. Both the theoretical and the experimental analysis support the feasibility of the proposed hybrid strategy.
Autores principais:Begiato, Rodolfo G.
Outros Autores:Custódio, Ana Luisa; Gomes-Ruggiero, Márcia A.
Assunto:Derivative-free optimization methods Inexact Newton Nonlinear systems of equations Nonmonotone line search Spectral residual Control and Optimization Computational Mathematics Applied Mathematics
Ano:2020
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
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author Begiato, Rodolfo G.
author2 Custódio, Ana Luisa
Gomes-Ruggiero, Márcia A.
author2_role author
author
author_facet Begiato, Rodolfo G.
Custódio, Ana Luisa
Gomes-Ruggiero, Márcia A.
author_role author
contributor_name_str_mv DM - Departamento de Matemática
CMA - Centro de Matemática e Aplicações
Springer Science Business Media
RUN
country_str PT
creators_json_txt [{\"Person.name\":\"Begiato, Rodolfo G.\"},{\"Person.name\":\"Custódio, Ana Luisa\"},{\"Person.name\":\"Gomes-Ruggiero, Márcia A.\"}]
datacite.contributors.contributor.contributorName.fl_str_mv DM - Departamento de Matemática
CMA - Centro de Matemática e Aplicações
Springer Science Business Media
RUN
datacite.creators.creator.creatorName.fl_str_mv Begiato, Rodolfo G.
Custódio, Ana Luisa
Gomes-Ruggiero, Márcia A.
datacite.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2021-04-26T22:55:03Z
datacite.date.embargoed.fl_str_mv 2021-04-26T22:55:03Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Derivative-free optimization methods
Inexact Newton
Nonlinear systems of equations
Nonmonotone line search
Spectral residual
Control and Optimization
Computational Mathematics
Applied Mathematics
datacite.titles.title.fl_str_mv A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
dc.contributor.none.fl_str_mv DM - Departamento de Matemática
CMA - Centro de Matemática e Aplicações
Springer Science Business Media
RUN
dc.creator.none.fl_str_mv Begiato, Rodolfo G.
Custódio, Ana Luisa
Gomes-Ruggiero, Márcia A.
dc.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
dc.date.available.fl_str_mv 2021-04-26T22:55:03Z
dc.date.embargoed.fl_str_mv 2021-04-26T22:55:03Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10362/116219
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Derivative-free optimization methods
Inexact Newton
Nonlinear systems of equations
Nonmonotone line search
Spectral residual
Control and Optimization
Computational Mathematics
Applied Mathematics
dc.title.fl_str_mv A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description This work concerns the numerical solution of high-dimensional systems of nonlinear equations, when derivatives are not available for use, but assuming that all functions defining the problem are continuously differentiable. A hybrid approach is taken, based on a derivative-free iterative method, organized in two phases. The first phase is defined by derivative-free versions of a fixed-point method that employs spectral parameters to define the steplength along the residual direction. The second phase consists on a matrix-free inexact Newton method that employs the Generalized Minimal Residual algorithm to solve the linear system that computes the search direction. This second phase will only take place if the first one fails to find a better point after a predefined number of reductions in the step size. In all stages, the criterion to accept a new point considers a nonmonotone decrease condition upon a merit function. Convergence results are established and the numerical performance is assessed through experiments in a set of problems collected from the literature. Both the theoretical and the experimental analysis support the feasibility of the proposed hybrid strategy.
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eu_rights_str_mv openAccess
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institution Universidade Nova de Lisboa
instname_str Universidade Nova de Lisboa
language eng
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oai_identifier_str oai:run.unl.pt:10362/116219
organization_str_mv urn:organizationAcronym:unl
person_str_mv Begiato, Rodolfo G.
Custódio, Ana Luisa
Gomes-Ruggiero, Márcia A.
publishDate 2020
reponame_str Repositório Institucional da UNL
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spelling engenThis work concerns the numerical solution of high-dimensional systems of nonlinear equations, when derivatives are not available for use, but assuming that all functions defining the problem are continuously differentiable. A hybrid approach is taken, based on a derivative-free iterative method, organized in two phases. The first phase is defined by derivative-free versions of a fixed-point method that employs spectral parameters to define the steplength along the residual direction. The second phase consists on a matrix-free inexact Newton method that employs the Generalized Minimal Residual algorithm to solve the linear system that computes the search direction. This second phase will only take place if the first one fails to find a better point after a predefined number of reductions in the step size. In all stages, the criterion to accept a new point considers a nonmonotone decrease condition upon a merit function. Convergence results are established and the numerical performance is assessed through experiments in a set of problems collected from the literature. Both the theoretical and the experimental analysis support the feasibility of the proposed hybrid strategy.application/pdfenA global hybrid derivative-free method for high-dimensional systems of nonlinear equationsBegiato, Rodolfo G.Custódio, Ana LuisaGomes-Ruggiero, Márcia A.DM - Departamento de MatemáticaCMA - Centro de Matemática e AplicaçõesSpringer Science Business MediaHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf0926-6003URNIsPartOfPURE: 15483455URNIsPartOfPURE UUID: a74a8004-ab4d-442c-a127-c43a89d3e979URNIsPartOfScopus: 85074818447URNIsPartOfWOS: 000511695500004DOIIsPartOf10.1007/s10589-019-00149-y2021-04-26T22:55:03Z2020-01-012020-01-01T00:00:00ZHandlehttp://hdl.handle.net/10362/116219http://purl.org/coar/access_right/c_abf2open accessDerivative-free optimization methodsInexact NewtonNonlinear systems of equationsNonmonotone line searchSpectral residualControl and OptimizationComputational MathematicsApplied Mathematics764216 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/fe0a0042-aec0-4ab1-9b3e-aa2f610538cf/download
spellingShingle A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
Begiato, Rodolfo G.
Derivative-free optimization methods
Inexact Newton
Nonlinear systems of equations
Nonmonotone line search
Spectral residual
Control and Optimization
Computational Mathematics
Applied Mathematics
status SINGLETON
subject.fl_str_mv Derivative-free optimization methods
Inexact Newton
Nonlinear systems of equations
Nonmonotone line search
Spectral residual
Control and Optimization
Computational Mathematics
Applied Mathematics
title A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
title_full A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
title_fullStr A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
title_full_unstemmed A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
title_short A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
title_sort A global hybrid derivative-free method for high-dimensional systems of nonlinear equations
topic Derivative-free optimization methods
Inexact Newton
Nonlinear systems of equations
Nonmonotone line search
Spectral residual
Control and Optimization
Computational Mathematics
Applied Mathematics
topic_facet Derivative-free optimization methods
Inexact Newton
Nonlinear systems of equations
Nonmonotone line search
Spectral residual
Control and Optimization
Computational Mathematics
Applied Mathematics
url http://hdl.handle.net/10362/116219
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