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Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method

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 th...

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Detalles Bibliográficos
Autores principales: Shah, Rasool, Khan, Hassan, Mustafa, Saima, Kumam, Poom, Arif, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515046/
https://www.ncbi.nlm.nih.gov/pubmed/33267271
http://dx.doi.org/10.3390/e21060557
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author Shah, Rasool
Khan, Hassan
Mustafa, Saima
Kumam, Poom
Arif, Muhammad
author_facet Shah, Rasool
Khan, Hassan
Mustafa, Saima
Kumam, Poom
Arif, Muhammad
author_sort Shah, Rasool
collection PubMed
description 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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spelling pubmed-75150462020-11-09 Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method Shah, Rasool Khan, Hassan Mustafa, Saima Kumam, Poom Arif, Muhammad Entropy (Basel) Article 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. MDPI 2019-06-03 /pmc/articles/PMC7515046/ /pubmed/33267271 http://dx.doi.org/10.3390/e21060557 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shah, Rasool
Khan, Hassan
Mustafa, Saima
Kumam, Poom
Arif, Muhammad
Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method
title Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method
title_full Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method
title_fullStr Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method
title_full_unstemmed Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method
title_short Analytical Solutions of Fractional-Order Diffusion Equations by Natural Transform Decomposition Method
title_sort analytical solutions of fractional-order diffusion equations by natural transform decomposition method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515046/
https://www.ncbi.nlm.nih.gov/pubmed/33267271
http://dx.doi.org/10.3390/e21060557
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