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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2023 Volume 63, Number 5, Page 716 (Mi zvmmf11547)

General numerical methods

On the radial basis function interpolation I: Spectral analysis of the interpolation matrix and the related operators

Jianping Xiaoabc

a China Resources Networks Co., Ltd. Shenzhen, China
b National University of Singapore, SITY, Singapore
c University of Michigan, Ann Arbor, Michigan, USA

Abstract: In this paper, we study the spectral properties of the periodized Radial Basis Function interpolation matrix as well as the related harmonic operators discretized using Radial Basis Functions. For Gaussian RBF, this procedure could be easily extended to an arbitrarily high dimensional space on a tensor-product grid as presented in the later parts of the paper. The experimental result of Boyd’s condition number [1] is analytically well predicted in the context of periodized RBF.

Key words: RBF, interpolation, spectral methods, Neural Network, tensor decomposition.

UDC: 519.63

Received: 11.10.2022
Revised: 11.10.2022
Accepted: 02.02.2023

Language: English

DOI: 10.31857/S0044466923050204


 English version:
Computational Mathematics and Mathematical Physics, 2023, 63:5, 719–729

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© Steklov Math. Inst. of RAS, 2026