Radial Basis Functions
Scattered node compact finite difference-type formulas generated from radial basis functions
Journal of Computational Physics
The Runge phenomenon and spatially variable shape parameters in RBF interpolation
Computers & Mathematics with Applications
A Stable Algorithm for Flat Radial Basis Functions on a Sphere
SIAM Journal on Scientific Computing
Meshfree Approximation Methods with MATLAB
Meshfree Approximation Methods with MATLAB
Stable computation of multiquadric interpolants for all values of the shape parameter
Computers & Mathematics with Applications
Adaptive meshless centres and RBF stencils for Poisson equation
Journal of Computational Physics
Stabilization of RBF-generated finite difference methods for convective PDEs
Journal of Computational Physics
Stable Computations with Gaussian Radial Basis Functions
SIAM Journal on Scientific Computing
Computers & Mathematics with Applications
Stable calculation of Gaussian-based RBF-FD stencils
Computers & Mathematics with Applications
Computers & Mathematics with Applications
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We investigate the influence of the shape parameter in the meshless Gaussian radial basis function finite difference (RBF-FD) method with irregular centres on the quality of the approximation of the Dirichlet problem for the Poisson equation with smooth solution. Numerical experiments show that the optimal shape parameter strongly depends on the problem, but insignificantly on the density of the centres. Therefore, we suggest a multilevel algorithm that effectively finds a near-optimal shape parameter, which helps to significantly reduce the error. Comparison to the finite element method and to the generalised finite differences obtained in the flat limits of the Gaussian RBF is provided.