A radial basis function approximation takes the form $$s(x)=\sum_{k=1}^na_k\phi(x-b_k),\quad x\in {\mathbb{R}}^d,$$ where the coefficients a 1,…,a n are real numbers, the centres b 1,…,b n are distinct points in ℝ d , and the function φ:ℝ d →ℝ is radially symmetric. Such functions are highly useful in practice and enjoy many beautiful theoretical properties. In particular, much work has been devoted to the polyharmonic radial basis functions, for which φ is the fundamental solution of some iterate of the Laplacian. In this note, we consider the construction of a rotation-invariant signed (Borel) measure μ for which the convolution ψ=μ φ is a function of compact support, and when φ is polyharmonic. The novelty of this construction is its u...
summary:The paper is concerned with the measurement of scalar physical quantities at nodes on the $...
AbstractA radial basis function approximation is typically a linear combination of shifts of a radia...
These lecture notes were inspired mainly by two seminal books on the topic by Holger Wendland [14] a...
A radial basis function (RBF) has the general form $$s(x)=\sum_{k=1}^{n}a_{k}\phi(x-b_{k}),\quad x\...
A radial basis function (RBF) has the general form $$s(x)=\sum_{k=1}^{n}a_{k}\phi(x-b_{k}),\quad x\...
Compactly supported basis functions are widely required and used in many applications. We explain wh...
Abstract. A family of C ∞ compactly supported radial kernels is presented. These positive defi-nite ...
AbstractIn the theory of radial basis functions as well as in the theory of spherically symmetric ch...
AbstractThis contribution provides a new formulation of the theory of radial basis functions in the ...
AbstractIn this paper, we prove convergence results for multiscale approximation using compactly sup...
The radial basis function method is a widely used technique for interpolation of scattered data. The...
One commonly finds in applications of smooth radial basis functions (RBFs) that scaling the kernels ...
In this article, we consider the radial Dunkl geometric case $k=1$ corresponding to flat Riemannian ...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...
We investigate a generalized spherical means operator, viz. generalized spherical mean Radon transf...
summary:The paper is concerned with the measurement of scalar physical quantities at nodes on the $...
AbstractA radial basis function approximation is typically a linear combination of shifts of a radia...
These lecture notes were inspired mainly by two seminal books on the topic by Holger Wendland [14] a...
A radial basis function (RBF) has the general form $$s(x)=\sum_{k=1}^{n}a_{k}\phi(x-b_{k}),\quad x\...
A radial basis function (RBF) has the general form $$s(x)=\sum_{k=1}^{n}a_{k}\phi(x-b_{k}),\quad x\...
Compactly supported basis functions are widely required and used in many applications. We explain wh...
Abstract. A family of C ∞ compactly supported radial kernels is presented. These positive defi-nite ...
AbstractIn the theory of radial basis functions as well as in the theory of spherically symmetric ch...
AbstractThis contribution provides a new formulation of the theory of radial basis functions in the ...
AbstractIn this paper, we prove convergence results for multiscale approximation using compactly sup...
The radial basis function method is a widely used technique for interpolation of scattered data. The...
One commonly finds in applications of smooth radial basis functions (RBFs) that scaling the kernels ...
In this article, we consider the radial Dunkl geometric case $k=1$ corresponding to flat Riemannian ...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...
We investigate a generalized spherical means operator, viz. generalized spherical mean Radon transf...
summary:The paper is concerned with the measurement of scalar physical quantities at nodes on the $...
AbstractA radial basis function approximation is typically a linear combination of shifts of a radia...
These lecture notes were inspired mainly by two seminal books on the topic by Holger Wendland [14] a...