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A weak-form RBF-generated finite difference method
Computers & Mathematics with Applications ( IF 2.811 ) Pub Date : 2019-12-20 , DOI: 10.1016/j.camwa.2019.11.024
Mozhgan Jabalameli; Davoud Mirzaei

In this paper, the idea of direct discretization via radial basis functions (RBFs) is applied on a local Petrov–Galerkin test space of a partial differential equation (PDE). This results to a weak-based RBF-generated finite difference (RBF–FD) scheme that possesses some useful properties. The error and stability issues are considered. When the PDE solution or the basis function has low smoothness, the new method gives more accurate results than the already well-established strong-based collocation methods. Although the method uses a Galerkin formulation, it still remains meshless because not only the approximation process relies on scattered point layouts but also integrations are done over non-connected, independent and well-shaped subdomains. Some applications to potential and elasticity problems on scattered data points support the theoretical analysis and show the efficiency of the proposed method.
更新日期:2020-03-24

 

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