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Lax-Wendroff Approximate Taylor Methods with Fast and Optimized Weighted Essentially Non-oscillatory Reconstructions
Indexado
WoS WOS:000606861200001
Scopus SCOPUS_ID:85098620781
DOI 10.1007/S10915-020-01380-0
Año 2021
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



The goal of this work is to introduce new families of shock-capturing high-order numerical methods for systems of conservation laws that combine Fast WENO (FWENO) and Optimal WENO (OWENO) reconstructions with Approximate Taylor methods for the time discretization. FWENO reconstructions are based on smoothness indicators that require a lower number of calculations than the standard ones. OWENO reconstructions are based on a definition of the nonlinear weights that allows one to unconditionally attain the optimal order of accuracy regardless of the order of critical points. Approximate Taylor methods update the numerical solutions by using a Taylor expansion in time in which, instead of using the Cauchy-Kovalevskaya procedure, the time derivatives are computed by combining spatial and temporal numerical differentiation with Taylor expansions in a recursive way. These new methods are compared between them and against methods based on standard WENO implementations and/or SSP-RK time discretization. A number of test cases are considered ranging from scalar linear 1d problems to nonlinear systems of conservation laws in 2d.

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Disciplinas de Investigación



WOS
Mathematics, Applied
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Carrillo, H. - ITESRC - México
2 Pares, Carlos Hombre Univ Malaga - España
Universidad de Málaga - España
3 ZORIO-VENTURA, DAVID Hombre Universidad de Concepción - Chile
Univ Int Valencia - España
Universidad Internacional de Valencia - España

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Financiamiento



Fuente
FONDECYT
FEDER
Fondo Nacional de Desarrollo Científico y Tecnológico
European Regional Development Fund
Spanish Government
Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica
H2020 Marie Skłodowska-Curie Actions
Horizon 2020 Framework Programme
Marie Sklodowska-Curie
European Union’s Horizon 2020 research and innovation program
European Union's Horizon 2020 research and innovation program, under the Marie Sklodowska-Curie grant

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Agradecimientos



Agradecimiento
This research has received funding from the European Union's Horizon 2020 research and innovation program, under the Marie Sklodowska-Curie grant agreement No 642768. It has been also partially supported by the Spanish Government and FEDER through the Research project RTI2018-096064-B-C21. D. Zorio is also supported by Fondecyt Project 3170077.
This research has received funding from the European Union?s Horizon 2020 research and innovation program, under the Marie Sklodowska-Curie grant agreement No 642768. It has been also partially supported by the Spanish Government and FEDER through the Research project RTI2018-096064-B-C21. D. Zor?o is also supported by Fondecyt Project 3170077.

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