期刊
APPLIED NUMERICAL MATHEMATICS
卷 174, 期 -, 页码 71-88出版社
ELSEVIER
DOI: 10.1016/j.apnum.2022.01.009
关键词
Fredholm integral equation; Hammerstein integral equation; Nystrom method; Numerical integration; Gaussian quadrature rules for splines
资金
- IMAG-Maria de Maeztu grant [CEX2020-001105-M/AEI/10.13039/501100011033]
- Spanish State Research Agency (Spanish Min-istry of Science, Innovation and Universities) [SEV-2017-0718]
- Ramon y Cajal [RYC-2017-22649]
This study investigates the use of Gaussian rules for splines in the Nystrom method, showing that the approximate solution of linear Fredholm integral equations computed using spline Gaussian quadrature rules converges to the exact solution for continuous kernels.
Nystrom method is a standard numerical technique to solve Fredholm integral equations of the second kind where the integration of the kernel is approximated using a quadrature formula. Traditionally, the quadrature rule used is the classical polynomial Gauss quadrature. Motivated by the observation that a given function can be better approximated by a spline function of a lower degree than a single polynomial piece of a higher degree, in this work, we investigate the use of Gaussian rules for splines in the Nystrom method. We show that, for continuous kernels, the approximate solution of linear Fredholm integral equations computed using spline Gaussian quadrature rules converges to the exact solution for m -> infinity, m being the number of quadrature points. Our numerical results also show that, when fixing the same number of quadrature points, the approximation is more accurate using spline Gaussian rules than using the classical polynomial Gauss rules. We also investigate the non-linear case, considering Hammerstein integral equations, and present some numerical tests.(c) 2022 The Author(s). Published by Elsevier B.V. on behalf of IMACS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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