Optimal Centers’ Allocation in Smoothing or Interpolating with Radial Basis Functions

Function interpolation and approximation are classical problems of vital importance in many science/engineering areas and communities. In this paper, we propose a powerful methodology for the optimal placement of centers, when approximating or interpolating a curve or surface to a data set, using a...

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Autors principals:	Pedro González-Rodelas, Hasan M. H. Idais, Mohammed Yasin, Miguel Pasadas
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-12-01
Col·lecció:	Mathematics
Matèries:	approximation interpolation RBFs centers’ allocation MOGA NSGA-II algorithms
Accés en línia:	https://www.mdpi.com/2227-7390/10/1/59
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