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Spherical Scattered Data Quasi-interpolation by Gaussian Radial Basis Function

Spherical Scattered Data Quasi-interpolation by Gaussian Radial Basis Function

作     者:Zhixiang CHEN Feilong CAO 

作者机构:Department of Mathematics Shaoxing University Department of Mathematics China Jiliang University 

出 版 物:《Chinese Annals of Mathematics,Series B》 (数学年刊(B辑英文版))

年 卷 期:2015年第36卷第3期

页      面:401-412页

核心收录:

学科分类:07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基  金:supported by the National Natural Science Foundation of China(Nos.61272023 61179041) 

主  题:Scattered data Approximation Spherical Gaussian radial basis function Modulus of continuity 

摘      要:Since the spherical Gaussian radial function is strictly positive definite, the authors use the linear combinations of translations of the Gaussian kernel to interpolate the scattered data on spheres in this article. Seeing that target functions axe usually outside the native spaces, and that one has to solve a large scaled system of linear equations to obtain combinatorial coefficients of interpolant functions, the authors first probe into some problems about interpolation with Gaussian radial functions. Then they construct quasi- interpolation operators by Gaussian radial function, and get the degrees of approximation. Moreover, they show the error relations between quasi-interpolation and interpolation when they have the same basis functions. Finally, the authors discuss the construction and approximation of the quasi-interpolant with a local support function.

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