Finding the interpolation function of a given set of nodes is an important problem in scientific computing. In this work a kind of localization is introduced using the radial basis functions which finds a sufficiently smooth solution without consuming large amount of time and computer memory. Some examples will be presented to show the efficiency of the new method
SIGLEAvailable from British Library Document Supply Centre- DSC:D062627 / BLDSC - British Library Do...
Function interpolation and approximation are classical problems of vital importance in many science/...
. We study the computational complexity, the error behavior, and the numerical stability of interpol...
In this paper we propose two fast localized radial basis function fitting algorithms for solving lar...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
AbstractWe construct a new adaptive algorithm for radial basis functions (RBFs) method applied to in...
The problem of choosing “good” nodes is a central one in polynomial interpolation. Made curious from...
The problem of choosing \u201cgood\u201d nodes is a central one in polynomial interpolation. Made cu...
The goal of this paper is to construct data-independent optimal point sets for interpolation by radi...
The goal of this paper is to construct data-independent optimal point sets for interpolation by radi...
The goal of this paper is to construct %discuss the concept of data--independent optimal point sets ...
SIGLEAvailable from British Library Document Supply Centre- DSC:D062627 / BLDSC - British Library Do...
Function interpolation and approximation are classical problems of vital importance in many science/...
. We study the computational complexity, the error behavior, and the numerical stability of interpol...
In this paper we propose two fast localized radial basis function fitting algorithms for solving lar...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
In this paper we propose a rescaled localized radial basis function (RL-RBF) interpolation method, b...
AbstractWe construct a new adaptive algorithm for radial basis functions (RBFs) method applied to in...
The problem of choosing “good” nodes is a central one in polynomial interpolation. Made curious from...
The problem of choosing \u201cgood\u201d nodes is a central one in polynomial interpolation. Made cu...
The goal of this paper is to construct data-independent optimal point sets for interpolation by radi...
The goal of this paper is to construct data-independent optimal point sets for interpolation by radi...
The goal of this paper is to construct %discuss the concept of data--independent optimal point sets ...
SIGLEAvailable from British Library Document Supply Centre- DSC:D062627 / BLDSC - British Library Do...
Function interpolation and approximation are classical problems of vital importance in many science/...
. We study the computational complexity, the error behavior, and the numerical stability of interpol...
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