Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution

In this work, we apply adaptive multiresolution (Harten’s approach) characteristic-wise fifth-order Weighted Essentially Non-Oscillatory (WENO) for computing the numerical solution of a polydisperse sedimentation model, namely, the Höfler and Schwarzer model. In comparison to other related works, ti...

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Fecha de publicación:
2015
Institución:
Ministerio de Ciencia, Tecnología e Innovación
Repositorio:
Repositorio Minciencias
Idioma:
eng
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oai:repositorio.minciencias.gov.co:20.500.14143/34121
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http://repositorio.colciencias.gov.co/handle/11146/34121
Palabra clave:
Spectral-based WENO
Adaptative multiresolution
Hofler and Schwarzer model
Modelos matemáticos
Teoría de juegos
Técnicas de previsión
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spelling Colombia2019-03-25T17:30:20Z2019-03-25T17:30:20Z2015info:eu-repo/date/embargoEnd/2024-01-31http://repositorio.colciencias.gov.co/handle/11146/34121Contiene 23 referencias bibliográficas. Véase el documento adjunto10.1142/S0219876216500377In this work, we apply adaptive multiresolution (Harten’s approach) characteristic-wise fifth-order Weighted Essentially Non-Oscillatory (WENO) for computing the numerical solution of a polydisperse sedimentation model, namely, the Höfler and Schwarzer model. In comparison to other related works, time discretization is carried out with the ten-stage fourth-order strong stability preserving Runge–Kutta method which is more efficient than the widely used optimal third-order TVD Runge–Kutta method. Numerical results with errors, convergence rates and CPU times are included for four and 11.Departamento Administrativo de Ciencia, Tecnología e Innovación [CO] Colciencias1215-569-33836Métodos adaptativos de multiresolución aplicado a la solución numérica de ciertos modelos descritos matemáticamente por leyes de conservaciónnopdf14 páginasengMétodos adaptativos de multirresolución aplicado a la solución numérica de ciertos modelos descritos matemáticamente por leyes de conservación. La publicación completa está disponible en : <a href="http://repositorio.colciencias.gov.co/handle/11146/34119" target="blank">http://repositorio.colciencias.gov.co/handle/11146/34119</a>International Journal of Computational Methods Vol. 13, No. 06, 1650037 (2016)Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolutionArtículo científicoinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1EstudiantesProfesoresInvestigadoresSpectral-based WENOAdaptative multiresolutionHofler and Schwarzer modelModelos matemáticosTeoría de juegosTécnicas de previsiónhttp://purl.org/coar/access_right/c_f1cfVega Fuentes, Carlos ArturoArias, FranciscoUniversidad del Norte, Uninortecvega@uninorte.edu.co2015-01Programa Nacional de CienciasComunidad científica colombiana0395-2013Artículos de investigaciónPublicationORIGINALA5_paper_2.pdfA5_paper_2.pdfArtículo WSPCapplication/pdf202726https://repositorio.minciencias.gov.co/bitstreams/b04b8a63-b849-46ff-b251-d65f10c36a8d/downloadcde0f3bc3f55e54374d8a5f60dbfd4b1MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.minciencias.gov.co/bitstreams/c58ec521-2c6d-4efd-8725-f12d157f49c2/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTA5_paper_2.pdf.txtA5_paper_2.pdf.txtExtracted texttext/plain26869https://repositorio.minciencias.gov.co/bitstreams/39828563-3bb2-4b24-a4de-ef17dc4c4b8c/download397c5c9574fbdd6fa0c66511a081a23fMD55THUMBNAILA5_paper_2.pdf.jpgA5_paper_2.pdf.jpgGenerated Thumbnailimage/jpeg8488https://repositorio.minciencias.gov.co/bitstreams/dd355bc6-b816-4b1f-9eaf-fec83e01cede/download0b8a90022350ef3630181e8a642936acMD5620.500.14143/34121oai:repositorio.minciencias.gov.co:20.500.14143/341212023-11-29 17:35:01.547restrictedhttps://repositorio.minciencias.gov.coRepositorio Institucional de Mincienciascendoc@minciencias.gov.co
dc.title.es_CO.fl_str_mv Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution
title Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution
spellingShingle Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution
Spectral-based WENO
Adaptative multiresolution
Hofler and Schwarzer model
Modelos matemáticos
Teoría de juegos
Técnicas de previsión
title_short Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution
title_full Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution
title_fullStr Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution
title_full_unstemmed Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution
title_sort Numerical simulations of a polidisperse sedimentation model by using spectral WENO method with adaptative multiresolution
dc.subject.keyword.es_CO.fl_str_mv Spectral-based WENO
Adaptative multiresolution
Hofler and Schwarzer model
topic Spectral-based WENO
Adaptative multiresolution
Hofler and Schwarzer model
Modelos matemáticos
Teoría de juegos
Técnicas de previsión
dc.subject.spines.es_CO.fl_str_mv Modelos matemáticos
Teoría de juegos
Técnicas de previsión
description In this work, we apply adaptive multiresolution (Harten’s approach) characteristic-wise fifth-order Weighted Essentially Non-Oscillatory (WENO) for computing the numerical solution of a polydisperse sedimentation model, namely, the Höfler and Schwarzer model. In comparison to other related works, time discretization is carried out with the ten-stage fourth-order strong stability preserving Runge–Kutta method which is more efficient than the widely used optimal third-order TVD Runge–Kutta method. Numerical results with errors, convergence rates and CPU times are included for four and 11.
publishDate 2015
dc.date.issued.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2019-03-25T17:30:20Z
dc.date.available.none.fl_str_mv 2019-03-25T17:30:20Z
dc.date.embargoEnd.es_CO.fl_str_mv info:eu-repo/date/embargoEnd/2024-01-31
dc.type.es_CO.fl_str_mv Artículo científico
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dc.type.driver.es_CO.fl_str_mv info:eu-repo/semantics/article
dc.identifier.uri.none.fl_str_mv http://repositorio.colciencias.gov.co/handle/11146/34121
dc.identifier.bibliographicCitation.es_CO.fl_str_mv Contiene 23 referencias bibliográficas. Véase el documento adjunto
dc.identifier.doi.none.fl_str_mv 10.1142/S0219876216500377
url http://repositorio.colciencias.gov.co/handle/11146/34121
identifier_str_mv Contiene 23 referencias bibliográficas. Véase el documento adjunto
10.1142/S0219876216500377
dc.language.iso.es_CO.fl_str_mv eng
language eng
dc.relation.ispartof.es_CO.fl_str_mv Métodos adaptativos de multirresolución aplicado a la solución numérica de ciertos modelos descritos matemáticamente por leyes de conservación. La publicación completa está disponible en : <a href="http://repositorio.colciencias.gov.co/handle/11146/34119" target="blank">http://repositorio.colciencias.gov.co/handle/11146/34119</a>
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dc.format.es_CO.fl_str_mv pdf
dc.format.extent.es_CO.fl_str_mv 14 páginas
dc.coverage.spatial.es_CO.fl_str_mv Colombia
dc.source.es_CO.fl_str_mv International Journal of Computational Methods Vol. 13, No. 06, 1650037 (2016)
institution Ministerio de Ciencia, Tecnología e Innovación
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