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Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method.
Shah, Rasool; Khan, Hassan; Mustafa, Saima; Kumam, Poom; Arif, Muhammad.
Afiliación
  • Shah R; Department of Mathematics, Abdul Wali khan University, Mardan 23200, Pakistan.
  • Khan H; Department of Mathematics, Abdul Wali khan University, Mardan 23200, Pakistan.
  • Mustafa S; Department of Mathematics, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.
  • Kumam P; Center of Excellence in Theoretical and Computational Science (TaCS-CoE) & Department of Mathematics, Faculty of Science, King Mongkuts University of Technology Thonburi (KMUTT), 126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, Thailand.
  • Arif M; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan.
Entropy (Basel) ; 21(6)2019 Jun 03.
Article en En | MEDLINE | ID: mdl-33267271
In the present article, fractional-order diffusion equations are solved using the Natural transform decomposition method. The series form solutions are obtained for fractional-order diffusion equations using the proposed method. Some numerical examples are presented to understand the procedure of the Natural transform decomposition method. The Natural transform decomposition method has shown the least volume of calculations and a high rate of convergence compared to other analytical techniques, the proposed method can also be easily applied to other non-linear problems. Therefore, the Natural transform decomposition method is considered to be one of the best analytical technique, to solve fractional-order linear and non-linear partial deferential equations, particularly fractional-order diffusion equation.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Entropy (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Pakistán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Entropy (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Pakistán