Please use this identifier to cite or link to this item: http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1040
Node adaptive domain decomposition method by radial basis functions
PABLO GONZALEZ CASANOVA
JOSE ANTONIO MUÑOZ GOMEZ
GUSTAVO RODRIGUEZ GOMEZ
Acceso Abierto
Atribución-NoComercial-SinDerivadas
Domain decomposition
Meshfree methods
Node adaptive
Partial differential equations
Radial basis function
During the last years, there has been increased interest in developing efficient radial basis function (RBF) algorithms to solve partial differential problems of great scale. In this article, we are interested in solving large PDEs problems, whose solution presents rapid variations. Our main objective is to introduce a RBF dynamical domain decomposition algorithm which simultaneously performs a node adaptive strategy. This algorithm is based on the RBFs unsymmetric collocation setting. Numerical experiments performed with the multiquadric kernel function, for two stationary problems in two dimensions are presented.
Wiley Periodicals, Inc.
2008-12
Artículo
Inglés
Estudiantes
Investigadores
Público en general
González-Casanova, P., et al., (2008). Node adaptive domain decomposition method by radial basis functions, Wiley Periodicals, Inc. Numer Methods Partial Differential (Eq 25): 1482–1501
CIENCIA DE LOS ORDENADORES
Versión publicada
publishedVersion - Versión publicada
Appears in Collections:Artículos de Ciencias Computacionales

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