Radial basis function interpolation: numerical and analytical developments
Radial basis function interpolation: numerical and analytical developments
Numerical methods for high dimensional Hamilton-Jacobi equations using radial basis functions
Journal of Computational Physics
Scattered node compact finite difference-type formulas generated from radial basis functions
Journal of Computational Physics
Meshfree Approximation Methods with MATLAB
Meshfree Approximation Methods with MATLAB
Computers & Mathematics with Applications
Meshfree explicit local radial basis function collocation method for diffusion problems
Computers & Mathematics with Applications
Optimal constant shape parameter for multiquadric based RBF-FD method
Journal of Computational Physics
Optimal variable shape parameter for multiquadric based RBF-FD method
Journal of Computational Physics
Journal of Computational Physics
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The local RBF is becoming increasingly popular as an alternative to the global version that suffers from ill-conditioning. In this paper, we study analytically the convergence behavior of the local RBF method as a function of the number of nodes employed in the scheme, the nodal distance, and the shape parameter. We derive exact formulas for the first and second derivatives in one dimension, and for the Laplacian in two dimensions. Using these formulas we compute Taylor expansions for the error. From this analysis, we find that there is an optimal value of the shape parameter for which the error is minimum. This optimal parameter is independent of the nodal distance. Our theoretical results are corroborated by numerical experiments.