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Research Article | Open Access

A robust adaptive grid method for first-order nonlinear singularly perturbed Fredholm integro-differential equations

Zhi Mao1,2( )Dan Luo2
School of Data Science, Tongren University, Tongren 554300, China
School of Mathematics and Statistics, Jishou University, Xiangxi 416100, China
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Abstract

In this paper, a robust adaptive grid method is developed for solving first-order nonlinear singularly perturbed Fredholm integro-differential equations (SPFIDEs). Firstly such SPFIDEs are discretized by the backward Euler formula for differential part and the composite numerical quadrature rule for integral part. Then both a prior and an a posterior error analysis in the maximum norm are derived. Based on the prior error bound and the mesh equidistribution principle, it is proved that there exists a mesh gives optimal first-order convergence which is robust with respect to the perturbation parameter. Finally, the posterior error bound is used to choose a suitable monitor function and design a corresponding adaptive grid generation algorithm. Numerical results are given to illustrate our theoretical result.

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Networks and Heterogeneous Media
Pages 1006-1023

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Cite this article:
Mao Z, Luo D. A robust adaptive grid method for first-order nonlinear singularly perturbed Fredholm integro-differential equations. Networks and Heterogeneous Media, 2023, 18(3): 1006-1023. https://doi.org/10.3934/nhm.2023044

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Received: 30 December 2022
Revised: 05 March 2023
Accepted: 16 March 2023
Published: 15 September 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)