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Research Article | Open Access

Numerical analysis of fractional heat transfer and porous media equations within Caputo-Fabrizio operator

Yousef Jawarneh1Humaira Yasmin2( )M. Mossa Al-Sawalha1Rasool Shah3Asfandyar Khan4
Department of Mathematics, College of Science, University of Ha'il, Ha'il 2440, Saudi Arabia
Department of Basic Sciences, Preparatory Year Deanship, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Department of Computer Science and Mathematics, Lebanese American University, Beirut Lebanon
Department of Mathematics, Abdul Wali Khan University, Mardan 23200, Pakistan
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Abstract

This paper presents a comparative study of two popular analytical methods, namely the Homotopy Perturbation Transform Method (HPTM) and the Adomian Decomposition Transform Method (ADTM), to solve two important fractional partial differential equations, namely the fractional heat transfer and porous media equations. The HPTM uses a perturbation approach to construct an approximate solution, while the ADTM decomposes the solution into a series of functions using the Adomian polynomials. The results obtained by the HPTM and ADTM are compared with the exact solutions, and the performance of both methods is evaluated in terms of accuracy and convergence rate. The numerical results show that both methods are efficient in solving the fractional heat transfer and porous media equations, and the HPTM exhibits slightly better accuracy and convergence rate than the ADTM. Overall, the study provides a valuable insight into the application of the HPTM and ADTM in solving fractional differential equations and highlights their potential for solving complex mathematical models in physics and engineering.

CLC number: 33B15, 34A34, 35A20, 35A22, 44A10

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AIMS Mathematics
Pages 26543-26560

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Cite this article:
Jawarneh Y, Yasmin H, Al-Sawalha MM, et al. Numerical analysis of fractional heat transfer and porous media equations within Caputo-Fabrizio operator. AIMS Mathematics, 2023, 8(11): 26543-26560. https://doi.org/10.3934/math.20231356

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Received: 07 August 2023
Revised: 01 September 2023
Accepted: 05 September 2023
Published: 15 November 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)