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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Local time-stepping for adaptive multiresolution using natural extension of Runge-Kutta methods

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Autor(es):
Lopes, Muller Moreira [1, 2] ; Domingues, Margarete Oliveira [1, 3] ; Schneider, Kai [4] ; Mendes, Odim [1, 5]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Natl Inst Space Res INPE, Av Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[2] Grad Program Appl Comp CAP, Sao Jose Dos Campos - Brazil
[3] Coordinat Associated Labs CTE, Associate Lab Appl Comp & Math LAC, Sao Jose Dos Campos - Brazil
[4] Aix Marseille Univ, Inst Math Marseille, CNRS, Cent Marseille, 39 Rue F Joliot Curie, F-13453 Marseille 13 - France
[5] Coordinat Space Sci CEA, Space Geophys Div DGE, Sao Jose Dos Campos - Brazil
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: Journal of Computational Physics; v. 382, p. 291-318, APR 1 2019.
Citações Web of Science: 0
Resumo

A space-time fully adaptive multiresolution method for evolutionary non-linear partial differential equations is presented introducing an improved local time-stepping method. The space discretisation is based on classical finite volumes, endowed with cell average multiresolution analysis for triggering the dynamical grid adaptation. The explicit time scheme features a natural extension of Runge-Kutta methods which allow local time-stepping while guaranteeing accuracy. The use of a compact Runge-Kutta formulation permits further memory reduction. The precision and computational efficiency of the scheme regarding CPU time and memory compression are assessed for problems in one, two and three space dimensions. As application Burgers equation, reaction-diffusion equations and the compressible Euler equations are considered. The numerical results illustrate the efficiency and superiority of the proposed local time-stepping method with respect to the reference computations. (C) 2019 Elsevier Inc. All rights reserved. (AU)

Processo FAPESP: 15/25624-2 - Desenvolvimento de modelagem multiescala para instabilidades locais não-lineares em Astrofísica e Geofísica Espacial
Beneficiário:Margarete Oliveira Domingues
Modalidade de apoio: Auxílio à Pesquisa - Regular