In this follow up paper to our previous study in Bayona et al. (2011) [2], we present a new technique to compute the solution of PDEs with the multiquadric based RBF finite difference method (RBF-FD) using an optimal node dependent variable value of the shape parameter. This optimal value is chosen so that, to leading order, the local approximation error of the RBF-FD formulas is zero. In our previous paper (Bayona et al., 2011) [2] we considered the case of an optimal (constant) value of the shape parameter for all the nodes. Our new results show that, if one allows the shape parameter to be different at each grid point of the domain, one may obtain very significant accuracy improvements with a simple and inexpensive numerical technique. W...
This study was aimed to develop a computational routine for the numerical solution of partial differ...
AbstractThis study examines the generalized multiquadrics (MQ), φj(x) = [(x−xj)2+cj2]β in the numeri...
Polyharmonic spline (PHS) radial basis functions (RBFs) have been used in conjunction with polynomia...
Radial basis functions (RBFs) have become a popular method for interpolation and solution of partial...
Radial basis functions (RBFs) have become a popular method for the solution of partial differential ...
The local RBF is becoming increasingly popular as an alternative to the global version that suffers ...
AbstractWe investigate the influence of the shape parameter in the meshless Gaussian radial basis fu...
We present a new method based upon the paper of Volokh and Vilney (2000) that produces highly accura...
Abstract-Spectrally accurate interpolation and approximation of derivatives used to be practical onl...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
In this work we derive analytical expressions for the weights of Gaussian RBF-FD and Gaussian RBF-HF...
AbstractGiven N scattered data points, we examined the problem of finding N variable Multiquadric (M...
AbstractMadych and Nelson [1] proved multiquadric (MQ) mesh-independent radial basis functions (RBFs...
We investigate the influence of the shape parameter in the meshless Gaussian RBF finite difference m...
AbstractMany studies, mostly empirical, have been devoted to finding an optimal shape parameter for ...
This study was aimed to develop a computational routine for the numerical solution of partial differ...
AbstractThis study examines the generalized multiquadrics (MQ), φj(x) = [(x−xj)2+cj2]β in the numeri...
Polyharmonic spline (PHS) radial basis functions (RBFs) have been used in conjunction with polynomia...
Radial basis functions (RBFs) have become a popular method for interpolation and solution of partial...
Radial basis functions (RBFs) have become a popular method for the solution of partial differential ...
The local RBF is becoming increasingly popular as an alternative to the global version that suffers ...
AbstractWe investigate the influence of the shape parameter in the meshless Gaussian radial basis fu...
We present a new method based upon the paper of Volokh and Vilney (2000) that produces highly accura...
Abstract-Spectrally accurate interpolation and approximation of derivatives used to be practical onl...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
In this work we derive analytical expressions for the weights of Gaussian RBF-FD and Gaussian RBF-HF...
AbstractGiven N scattered data points, we examined the problem of finding N variable Multiquadric (M...
AbstractMadych and Nelson [1] proved multiquadric (MQ) mesh-independent radial basis functions (RBFs...
We investigate the influence of the shape parameter in the meshless Gaussian RBF finite difference m...
AbstractMany studies, mostly empirical, have been devoted to finding an optimal shape parameter for ...
This study was aimed to develop a computational routine for the numerical solution of partial differ...
AbstractThis study examines the generalized multiquadrics (MQ), φj(x) = [(x−xj)2+cj2]β in the numeri...
Polyharmonic spline (PHS) radial basis functions (RBFs) have been used in conjunction with polynomia...