Multilevel Quasi-Interpolation on Chebyshev Sparse Grids

Author:

Alsharif Faisal1ORCID

Affiliation:

1. Department of Mathematics, College of Science, Taibah University, Al-Madinah Al-Munawarah 30002, Saudi Arabia

Abstract

This paper investigates the potential of utilising multilevel quasi-interpolation techniques on Chebyshev sparse grids for complex numerical computations. The paper starts by laying down the motivations for choosing Chebyshev sparse grids and quasi-interpolation methods with Gaussian kernels. It delves into the practical aspects of implementing these techniques. Various numerical experiments are performed to evaluate the efficiency and limitations of the multilevel quasi-sparse interpolation methods with dimensions two dimension and three dimension. The work ultimately aims to provide a comprehensive understanding of the computational efficiency and accuracy achievable through this approach, comparing its performance with traditional methods.

Publisher

MDPI AG

Reference14 articles.

1. Alsharif, F. (2023). Multilevel Quasi-Interpolation With a Gaussian Kernel Using Chebyshev Points—Numerical and Theoretical Studies Using the Radial Basis Function Approach. [Ph.D. Thesis, University of Leicester].

2. Alsharif, F. (2024). Quasi-Interpolation on Chebyshev Grids with Boundary Corrections. Computation, 12.

3. Multilevel quasi-interpolation;Franz;IMA J. Numer. Anal.,2022

4. Multilevel sparse kernel based interpolation;Georgoulis;SIAM J. Sci. Comput.,2013

5. Univariate multiquadric approximation: Quasi-interpolation to scattered data;Beatson;Constr. Approx,1992

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