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An Efficient Computational Method for Differential Equations of Fractional Type

by Mustafa Turkyilmazoglu1,2,*

1 Department of Mathematics, Hacettepe University, Ankara, 06532, Turkey
2 Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 40447, Taiwan

* Corresponding Author: Mustafa Turkyilmazoglu. Email: email

Computer Modeling in Engineering & Sciences 2022, 133(1), 47-65. https://doi.org/10.32604/cmes.2022.020781

Abstract

An effective solution method of fractional ordinary and partial differential equations is proposed in the present paper. The standard Adomian Decomposition Method (ADM) is modified via introducing a functional term involving both a variable and a parameter. A residual approach is then adopted to identify the optimal value of the embedded parameter within the frame of L2 norm. Numerical experiments on sample problems of open literature prove that the presented algorithm is quite accurate, more advantageous over the traditional ADM and straightforward to implement for the fractional ordinary and partial differential equations of the recent focus of mathematical models. Better performance of the method is further evidenced against some compared commonly used numerical techniques.

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Cite This Article

APA Style
Turkyilmazoglu, M. (2022). An efficient computational method for differential equations of fractional type. Computer Modeling in Engineering & Sciences, 133(1), 47-65. https://doi.org/10.32604/cmes.2022.020781
Vancouver Style
Turkyilmazoglu M. An efficient computational method for differential equations of fractional type. Comput Model Eng Sci. 2022;133(1):47-65 https://doi.org/10.32604/cmes.2022.020781
IEEE Style
M. Turkyilmazoglu, “An Efficient Computational Method for Differential Equations of Fractional Type,” Comput. Model. Eng. Sci., vol. 133, no. 1, pp. 47-65, 2022. https://doi.org/10.32604/cmes.2022.020781



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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