Approximation of Multivariate Functions and Evaluation of Particular Solutions Using Chebyshev Polynomial and Trigonometric Basis Functions
Document Type
Article
Publication Date
9-24-2006
Department
Mathematics
School
Mathematics and Natural Sciences
Abstract
A two-stage numerical procedure using Chebyshev polynomials and trigonometric functions is proposed to approximate the source term of a given partial differential equation. The purpose of such numerical schemes is crucial for the evaluation of particular solutions of a large class of partial differential equations. Our proposed scheme provides a highly efficient and accurate approximation of multivariate functions and particular solution of certain partial differential equations simultaneously. Numerical results on the approximation of eight two-dimensional test functions and their derivatives are given. To demonstrate that the scheme for the approximation of functions can be easily extended to evaluate the particular solution of certain partial differential equations, we solve a modified Helmholtz equation. Near machine precision can be achieved for all these test problems. Copyright (c) 2006 John Wiley & Sons, Ltd.
Publication Title
International Journal for Numerical Methods in Engineering
Volume
67
Issue
13
First Page
1811
Last Page
1829
Recommended Citation
Reutskiy, S.,
Chen, C.
(2006). Approximation of Multivariate Functions and Evaluation of Particular Solutions Using Chebyshev Polynomial and Trigonometric Basis Functions. International Journal for Numerical Methods in Engineering, 67(13), 1811-1829.
Available at: https://aquila.usm.edu/fac_pubs/2221