期刊
COMPUTERS & MATHEMATICS WITH APPLICATIONS
卷 43, 期 3-5, 页码 319-327出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0898-1221(01)00289-9
关键词
adaptive advection schemes; semi-Lagrangian method; radial basis functions
This paper proposes a new grid-free adaptive advection scheme. The resulting algorithm is a combination of the semi-Lagrangian method (SLM) and the grid-free radial basis function interpolation (RBF). The set of scattered interpolation nodes is subject to dynamic changes at run time. Based on a posteriori local error estimates a self-adaptive local refinement and coarsening of the nodes serves to obtain enhanced accuracy at reasonable computational costs. Due to well-known features of SLM and RBF, the method is guaranteed to be stable, it has good approximation behaviour, and it works for arbitrary space dimension. Numerical examples in two dimensions illustrate the performance of the method in comparison with existing grid-based advection schemes. (C) 2002 Elsevier Science Ltd. All rights reserved.
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