Title of article :
Local hybrid approximation for scattered data fitting with bivariate splines Original Research Article
Author/Authors :
Oleg Davydov، نويسنده , , Rossana Morandi، نويسنده , , Alessandra Sestini، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Pages :
19
From page :
703
To page :
721
Abstract :
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.
Keywords :
Scattered data fitting , Bivariate splines , Radial basis functions
Journal title :
Computer Aided Geometric Design
Serial Year :
2006
Journal title :
Computer Aided Geometric Design
Record number :
1139275
Link To Document :
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