Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry

Detalhes bibliográficos
Autor(a) principal: Nikan, O.
Data de Publicação: 2021
Outros Autores: Avazzadeh, Z., Machado, J. A. Tenreiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/18646
Resumo: This paper presents a meshless method based on the finite difference scheme derived from the local radial basis function (RBF-FD). The algorithm is used for finding the approximate solution of nonlinear anomalous reaction–diffusion models. The time discretization procedure is carried out by means of a weighted discrete scheme covering second-order approximation, while the spatial discretization is accomplished using the RBF-FD. The theoretical discussion validates the stability and convergence of the time-discretized formulation which are analyzed in the perspective to the H1-norm. This approach benefits from a local collocation technique to estimate the differential operators using the weighted differences over local collection nodes through the RBF expansion. Two test problems illustrate the computational efficiency of the approach. Numerical simulations highlight the performance of the method that provides accurate solutions on complex domains with any distribution node type.
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spelling Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistryNonlinear anomalous reaction–diffusion processRiemann–Liouville fractional derivativeRBF-FDError analysisThis paper presents a meshless method based on the finite difference scheme derived from the local radial basis function (RBF-FD). The algorithm is used for finding the approximate solution of nonlinear anomalous reaction–diffusion models. The time discretization procedure is carried out by means of a weighted discrete scheme covering second-order approximation, while the spatial discretization is accomplished using the RBF-FD. The theoretical discussion validates the stability and convergence of the time-discretized formulation which are analyzed in the perspective to the H1-norm. This approach benefits from a local collocation technique to estimate the differential operators using the weighted differences over local collection nodes through the RBF expansion. Two test problems illustrate the computational efficiency of the approach. Numerical simulations highlight the performance of the method that provides accurate solutions on complex domains with any distribution node type.The authors express their deep gratitude to the referees and the editor for their valuable comments and suggestions.ElsevierRepositório Científico do Instituto Politécnico do PortoNikan, O.Avazzadeh, Z.Machado, J. A. Tenreiro20212031-12-01T00:00:00Z2021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/18646eng10.1016/j.jocs.2021.101394info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:10:48Zoai:recipp.ipp.pt:10400.22/18646Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:38:11.991955Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry
title Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry
spellingShingle Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry
Nikan, O.
Nonlinear anomalous reaction–diffusion process
Riemann–Liouville fractional derivative
RBF-FD
Error analysis
title_short Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry
title_full Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry
title_fullStr Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry
title_full_unstemmed Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry
title_sort Numerical study of the nonlinear anomalous reaction–subdiffusion process arising in the electroanalytical chemistry
author Nikan, O.
author_facet Nikan, O.
Avazzadeh, Z.
Machado, J. A. Tenreiro
author_role author
author2 Avazzadeh, Z.
Machado, J. A. Tenreiro
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Nikan, O.
Avazzadeh, Z.
Machado, J. A. Tenreiro
dc.subject.por.fl_str_mv Nonlinear anomalous reaction–diffusion process
Riemann–Liouville fractional derivative
RBF-FD
Error analysis
topic Nonlinear anomalous reaction–diffusion process
Riemann–Liouville fractional derivative
RBF-FD
Error analysis
description This paper presents a meshless method based on the finite difference scheme derived from the local radial basis function (RBF-FD). The algorithm is used for finding the approximate solution of nonlinear anomalous reaction–diffusion models. The time discretization procedure is carried out by means of a weighted discrete scheme covering second-order approximation, while the spatial discretization is accomplished using the RBF-FD. The theoretical discussion validates the stability and convergence of the time-discretized formulation which are analyzed in the perspective to the H1-norm. This approach benefits from a local collocation technique to estimate the differential operators using the weighted differences over local collection nodes through the RBF expansion. Two test problems illustrate the computational efficiency of the approach. Numerical simulations highlight the performance of the method that provides accurate solutions on complex domains with any distribution node type.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
2031-12-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/18646
url http://hdl.handle.net/10400.22/18646
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.jocs.2021.101394
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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