In this work we derive analytical expressions for the weights of Gaussian RBF-FD and Gaussian RBF-HFD formulas for some differential operators. These weights are used to derive analytical expressions for the leading order approximations to the local truncation error in powers of the inter-node distance h and the shape parameter є. We show that for each differential operator, there is a range of values of the shape parameter for which RBF-FD formulas and RBF-HFD formulas are significantly more accurate than the corresponding standard FD formulas. In fact, very often there is an optimal value of the shape parameter є+ for which the local error is zero to leading order. This value can be easily computed from the analytical expressions for the ...
AbstractMany studies, mostly empirical, have been devoted to finding an optimal shape parameter for ...
Radial basis function (RBF) methods are meshfree, i.e., they can operate on unstructured node sets. ...
We propose a new approach to study Radial Basis Function (RBF) interpolation in the limit of increas...
In this work we derive analytical expressions for the weights of Gaussian RBF-FD and Gaussian RBF-HF...
We propose a new approach to avoid the inherent ill-condition in the computation of RBF-FD weights, ...
The local RBF is becoming increasingly popular as an alternative to the global version that suffers ...
Radial basis functions (RBFs) have become a popular method for interpolation and solution of partial...
Abstract. Traditional finite difference (FD) methods are designed to be exact for low degree polynom...
AbstractWe investigate the influence of the shape parameter in the meshless Gaussian radial basis fu...
Radial basis function-generated finite difference (RBF-FD) approximations generalize classical grid-...
In this follow up paper to our previous study in Bayona et al. (2011) [2], we present a new techniqu...
Radial basis functions (RBFs) have become a popular method for the solution of partial differential ...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
AbstractThis is the fifth of our series of works about the shape parameter. We now explore the param...
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 ...
Radial basis function (RBF) methods are meshfree, i.e., they can operate on unstructured node sets. ...
We propose a new approach to study Radial Basis Function (RBF) interpolation in the limit of increas...
In this work we derive analytical expressions for the weights of Gaussian RBF-FD and Gaussian RBF-HF...
We propose a new approach to avoid the inherent ill-condition in the computation of RBF-FD weights, ...
The local RBF is becoming increasingly popular as an alternative to the global version that suffers ...
Radial basis functions (RBFs) have become a popular method for interpolation and solution of partial...
Abstract. Traditional finite difference (FD) methods are designed to be exact for low degree polynom...
AbstractWe investigate the influence of the shape parameter in the meshless Gaussian radial basis fu...
Radial basis function-generated finite difference (RBF-FD) approximations generalize classical grid-...
In this follow up paper to our previous study in Bayona et al. (2011) [2], we present a new techniqu...
Radial basis functions (RBFs) have become a popular method for the solution of partial differential ...
Radial Basis Function (RBF) methods have become a truly meshless alternative for the interpolation o...
AbstractThis is the fifth of our series of works about the shape parameter. We now explore the param...
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 ...
Radial basis function (RBF) methods are meshfree, i.e., they can operate on unstructured node sets. ...
We propose a new approach to study Radial Basis Function (RBF) interpolation in the limit of increas...