The question in the title is answered using tools of potential theory. Convergence and divergence rates of interpolants of analytic functions on the unit interval are analyzed. The starting point is a complex variable contour integral formula for the remainder in RBF interpolation. We study a generalized Runge phenomenon and explore how the location of centers and affects convergence. Special attention is given to Gaussian and inverse quadratic radial functions, but some of the results can be extended to other smooth basis functions. Among other things, we prove that, under mild conditions, inverse quadratic RBF interpolants of functions that are analytic inside the strip $|Im(z)| < (1/2\epsilon)$, where $\epsilon$ is the shape parameter, c...
AbstractWe consider interpolation of univariate functions on arbitrary sets of nodes by Gaussian rad...
The rescaled localized RBF method was introduced in Deparis, Forti, and Quarteroni (2014) for scatte...
The rescaled localized RBF method was introduced in Deparis, Forti, and Quarteroni (2014) for scatte...
The question in the title is answered using tools of potential theory. Convergence and divergence ra...
AbstractRadial basis functions (RBFs) form a primary tool for multivariate interpolation. Some of th...
AbstractInterpolation problems for analytic radial basis functions like the Gaussian and inverse mul...
AbstractWe consider interpolation of univariate functions on arbitrary sets of nodes by Gaussian rad...
AbstractMany types of radial basis functions, such as multiquadrics, contain a free parameter. In th...
We propose a new approach to study Radial Basis Function (RBF) interpolation in the limit of increas...
AbstractInterpolation problems for analytic radial basis functions like the Gaussian and inverse mul...
We propose a new approach to study Radial Basis Function (RBF) interpolation in the limit of increas...
AbstractRadial basis function (RBF) interpolation is a “meshless” strategy with great promise for ad...
Abstract. We explore a connection between Gaussian radial basis functions and polynomials. Using sta...
AbstractMultivariate interpolation of smooth data using smooth radial basis functions is considered....
AbstractRadial basis function (RBF) interpolation is a “meshless” strategy with great promise for ad...
AbstractWe consider interpolation of univariate functions on arbitrary sets of nodes by Gaussian rad...
The rescaled localized RBF method was introduced in Deparis, Forti, and Quarteroni (2014) for scatte...
The rescaled localized RBF method was introduced in Deparis, Forti, and Quarteroni (2014) for scatte...
The question in the title is answered using tools of potential theory. Convergence and divergence ra...
AbstractRadial basis functions (RBFs) form a primary tool for multivariate interpolation. Some of th...
AbstractInterpolation problems for analytic radial basis functions like the Gaussian and inverse mul...
AbstractWe consider interpolation of univariate functions on arbitrary sets of nodes by Gaussian rad...
AbstractMany types of radial basis functions, such as multiquadrics, contain a free parameter. In th...
We propose a new approach to study Radial Basis Function (RBF) interpolation in the limit of increas...
AbstractInterpolation problems for analytic radial basis functions like the Gaussian and inverse mul...
We propose a new approach to study Radial Basis Function (RBF) interpolation in the limit of increas...
AbstractRadial basis function (RBF) interpolation is a “meshless” strategy with great promise for ad...
Abstract. We explore a connection between Gaussian radial basis functions and polynomials. Using sta...
AbstractMultivariate interpolation of smooth data using smooth radial basis functions is considered....
AbstractRadial basis function (RBF) interpolation is a “meshless” strategy with great promise for ad...
AbstractWe consider interpolation of univariate functions on arbitrary sets of nodes by Gaussian rad...
The rescaled localized RBF method was introduced in Deparis, Forti, and Quarteroni (2014) for scatte...
The rescaled localized RBF method was introduced in Deparis, Forti, and Quarteroni (2014) for scatte...