Introduction We will treat systems of linear equations, each of the form Lu = f on\Omega ; (1.1) where\Omega is a domain in IR d and L is a linear operator, acting on complex valued functions on \Omega\Gamma The function f is given ("data") and each equation should have a nonempty space of solutions. 2 1. Introduction 1.1 Collocation Method for Single Equations Collocation is a well-known method to approximate the solution of equations of the form (1.1). The idea is to approximate the requested solution u by a function s u = n X j=1 \Phi j ff j 2 span f\Phi j g j=1;:::;n ; (1.1.1) where the \Phi j :\Omega ! C are ce
A meshless method based on collocation with radial basis functions (RBFs) and wavelets is proposed. ...
This paper gives an order of convergence in applying the radial basis functions (RBF) as a meshless ...
In this thesis we are concerned with the approximation of functions by radial basis function interpo...
In this thesis, we analyse multilevel collocation methods involving compactly supported radial basis...
In this paper, we derive error estimates for generalized interpolation, in particular collocation, i...
Global radial basis function (RBF) collocation methods with inifinitely smooth basis functions for p...
. Solving partial dierential equations by collocation with radial basis functions can be eÆciently d...
Radial basis function (RBF) methods are meshfree, i.e., they can operate on unstructured node sets. ...
This book surveys the latest advances in radial basis function (RBF) meshless collocation methods wh...
AbstractIn this paper, we prove some inverse inequalities for the finite dimensional subspace interp...
In recent years radial basis function collocation has become a useful alternative to finite differe...
After a series of application papers have proven the approach to be numerically eective, this paper ...
After a series of application papers have proven the approach to be numerically effective, this pape...
AbstractThis paper introduces radial basis functions (RBF) into the collocation methods and the comb...
Abstract. This paper proves convergence of variations of the unsymmetric kernel-based collocation me...
A meshless method based on collocation with radial basis functions (RBFs) and wavelets is proposed. ...
This paper gives an order of convergence in applying the radial basis functions (RBF) as a meshless ...
In this thesis we are concerned with the approximation of functions by radial basis function interpo...
In this thesis, we analyse multilevel collocation methods involving compactly supported radial basis...
In this paper, we derive error estimates for generalized interpolation, in particular collocation, i...
Global radial basis function (RBF) collocation methods with inifinitely smooth basis functions for p...
. Solving partial dierential equations by collocation with radial basis functions can be eÆciently d...
Radial basis function (RBF) methods are meshfree, i.e., they can operate on unstructured node sets. ...
This book surveys the latest advances in radial basis function (RBF) meshless collocation methods wh...
AbstractIn this paper, we prove some inverse inequalities for the finite dimensional subspace interp...
In recent years radial basis function collocation has become a useful alternative to finite differe...
After a series of application papers have proven the approach to be numerically eective, this paper ...
After a series of application papers have proven the approach to be numerically effective, this pape...
AbstractThis paper introduces radial basis functions (RBF) into the collocation methods and the comb...
Abstract. This paper proves convergence of variations of the unsymmetric kernel-based collocation me...
A meshless method based on collocation with radial basis functions (RBFs) and wavelets is proposed. ...
This paper gives an order of convergence in applying the radial basis functions (RBF) as a meshless ...
In this thesis we are concerned with the approximation of functions by radial basis function interpo...