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A predictor–corrector compact finite difference scheme for a nonlinear partial integro-differential equation

  • Shufang Hu ORCID logo EMAIL logo , Wenlin Qiu and Hongbin Chen
Published/Copyright: August 9, 2021

Abstract

A predictor–corrector compact finite difference scheme is proposed for a nonlinear partial integro-differential equation. In our method, the time direction is approximated by backward Euler scheme and the Riemann–Liouville (R–L) fractional integral term is treated by means of first order convolution quadrature suggested by Lubich. Meanwhile, a two-step predictor–corrector (P–C) algorithm called MacCormack method is used. A fully discrete scheme is constructed with space discretization by compact finite difference method. Numerical experiment presents the scheme is in good agreement with the theoretical analysis.

AMS subject classification (2010): 45K05; 65M06; 65M12; 65M15

Corresponding author: Shufang Hu, Institute of Mathematics and Physics, College of Science, Central South University of Forestry and Technology, Changsha 410004, Hunan, P. R. China, E-mail:

Funding source: The Scientific Reasearch Foundation of Hunan Provincial Education Department doi.org/10.13039/100014472

Award Identifier / Grant number: 17B277

Award Identifier / Grant number: 18C0137

Funding source: The Startup Scientific Research Foundation of CSUFT

Award Identifier / Grant number: 2017YJ026

Funding source: The project supported by the Natural Science Foundation of Hunan Province

Award Identifier / Grant number: 2018JJ2669

Acknowledgement

We thank anonymous referees for their careful review on our manuscript and for their constructive comments.

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The project supported by the Natural Science Foundation of Hunan Province (No: 2018JJ2669), the Scientific Research Foundation of Hunan Provincial Education Department (No: 17B277, 18C0137) and the Startup Scientific Research Foundation of CSUFT (No: 2017YJ026).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2019-10-08
Revised: 2021-01-15
Accepted: 2021-07-20
Published Online: 2021-08-09
Published in Print: 2022-06-25

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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