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ψ-Haar wavelets method for numerically solving fractional differential equations

Amjid Ali (Faculty of Science and Engineering, Saga University, Saga, Japan)
Teruya Minamoto (Faculty of Science and Engineering, Saga University, Saga, Japan)
Umer Saeed (NUST Institute of Civil Engineering, School of Civil and Environmental Engineering, National University of Sciences and Technology, Islamabad, Pakistan)
Mujeeb Ur Rehman (Department of Mathematics, School of Natural Sciences, National University of Sciences and Technology, Islamabad, Pakistan)

Engineering Computations

ISSN: 0264-4401

Article publication date: 12 August 2020

Issue publication date: 8 February 2021

128

Abstract

Purpose

The purpose of this paper is to obtain a numerical scheme for finding numerical solutions of linear and nonlinear fractional differential equations involving ψ-Caputo derivative.

Design/methodology/approach

An operational matrix to find numerical approximation of ψ-fractional differential equations (FDEs) is derived. This study extends the method to nonlinear FDEs by using quasi linearization technique to linearize the nonlinear problems.

Findings

The error analysis of the proposed method is discussed in-depth. Accuracy and efficiency of the method are verified through numerical examples.

Research limitations/implications

The method is simple and a good mathematical tool for finding solutions of nonlinear ψ-FDEs. The operational matrix approach offers less computational complexity.

Originality/value

Engineers and applied scientists may use the present method for solving fractional models appearing in applications.

Keywords

Acknowledgements

The authors are grateful to the anonymous reviewers for their valuable comments which led to the significant improvement of the manuscript.

Citation

Ali, A., Minamoto, T., Saeed, U. and Rehman, M.U. (2021), "ψ-Haar wavelets method for numerically solving fractional differential equations", Engineering Computations, Vol. 38 No. 2, pp. 1037-1056. https://doi.org/10.1108/EC-01-2020-0050

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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