AbstractWe 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
Radial basis function-generated finite difference (RBF-FD) approximations generalize classical grid-...
The Radial Basis Function (RBF) method has been considered an important meshfree tool for numerical ...
The local RBF is becoming increasingly popular as an alternative to the global version that suffers ...
We investigate the influence of the shape parameter in the meshless Gaussian RBF finite difference m...
Radial basis functions (RBFs) have become a popular method for interpolation and solution of partial...
We consider adaptive meshless discretisation of the Dirichlet problem for Poisson equation based on ...
Radial basis functions (RBFs) have become a popular method for the solution of partial differential ...
In this follow up paper to our previous study in Bayona et al. (2011) [2], we present a new techniqu...
Approximation of the functions which are the solutions of complex or difficult problems is a worthwh...
In this work we derive analytical expressions for the weights of Gaussian RBF-FD and Gaussian RBF-HF...
Abstract. Traditional finite difference (FD) methods are designed to be exact for low degree polynom...
In this article, integrated radial basis functions (IRBFs) are used for Hermite interpolation in the...
In this paper, we totally discard the traditional trial-and-error algorithms of choosing the accepta...
AbstractDuring the last decade, three main variations have been proposed for solving elliptic PDEs b...
Recent research into using the Method of Approximate Particular Solutions to numerically solve parti...
Radial basis function-generated finite difference (RBF-FD) approximations generalize classical grid-...
The Radial Basis Function (RBF) method has been considered an important meshfree tool for numerical ...
The local RBF is becoming increasingly popular as an alternative to the global version that suffers ...
We investigate the influence of the shape parameter in the meshless Gaussian RBF finite difference m...
Radial basis functions (RBFs) have become a popular method for interpolation and solution of partial...
We consider adaptive meshless discretisation of the Dirichlet problem for Poisson equation based on ...
Radial basis functions (RBFs) have become a popular method for the solution of partial differential ...
In this follow up paper to our previous study in Bayona et al. (2011) [2], we present a new techniqu...
Approximation of the functions which are the solutions of complex or difficult problems is a worthwh...
In this work we derive analytical expressions for the weights of Gaussian RBF-FD and Gaussian RBF-HF...
Abstract. Traditional finite difference (FD) methods are designed to be exact for low degree polynom...
In this article, integrated radial basis functions (IRBFs) are used for Hermite interpolation in the...
In this paper, we totally discard the traditional trial-and-error algorithms of choosing the accepta...
AbstractDuring the last decade, three main variations have been proposed for solving elliptic PDEs b...
Recent research into using the Method of Approximate Particular Solutions to numerically solve parti...
Radial basis function-generated finite difference (RBF-FD) approximations generalize classical grid-...
The Radial Basis Function (RBF) method has been considered an important meshfree tool for numerical ...
The local RBF is becoming increasingly popular as an alternative to the global version that suffers ...