Local hybrid approximation for scattered data fitting with bivariate splines

被引:18
作者
Davydov, Oleg
Morandi, Rossana
Sestini, Alessandra [1 ]
机构
[1] Univ Florence, Dipartimento Energet, I-50134 Florence, Italy
[2] Univ Strathclyde, Dept Math, Glasgow G1 1XH, Lanark, Scotland
关键词
scattered data fitting; bivariate splines; radial basis functions;
D O I
10.1016/j.cagd.2006.04.001
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We suggest a local hybrid approximation scheme based on polynomials and radial basis functions, and use it to improve the scattered data fitting algorithm of (Davydov, O., Zeilfelder, F., 2004. Scattered data fitting by direct extension of local polynomials to bivariate splines. Adv. Comp. Math. 21, 223-271). Similar to that algorithm, the new method has linear computational complexity and is therefore suitable for large real world data. Numerical examples suggest that it can produce high quality artifact-free approximations that are more accurate than those given by the original method where pure polynomial local approximations are used. (C) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:703 / 721
页数:19
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