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Analytical Solutions of Fractional-Order Heat and Wave Equations by the Natural Transform Decomposition Method

In the present article, fractional-order heat and wave equations are solved by using the natural transform decomposition method. The series form solutions are obtained for fractional-order heat and wave equations, using the proposed method. Some numerical examples are presented to understand the pro...

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Detalles Bibliográficos
Autores principales: Khan, Hassan, Shah, Rasool, 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/PMC7515102/
https://www.ncbi.nlm.nih.gov/pubmed/33267311
http://dx.doi.org/10.3390/e21060597
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author Khan, Hassan
Shah, Rasool
Kumam, Poom
Arif, Muhammad
author_facet Khan, Hassan
Shah, Rasool
Kumam, Poom
Arif, Muhammad
author_sort Khan, Hassan
collection PubMed
description In the present article, fractional-order heat and wave equations are solved by using the natural transform decomposition method. The series form solutions are obtained for fractional-order heat and wave equations, using the proposed method. Some numerical examples are presented to understand the procedure of natural transform decomposition method. The natural transform decomposition method procedure has shown that less volume of calculations and a high rate of convergence can be easily applied to other nonlinear problems. Therefore, the natural transform decomposition method is considered to be one of the best analytical techniques, in order to solve fractional-order linear and nonlinear Partial deferential equations, particularly fractional-order heat and wave equation.
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spelling pubmed-75151022020-11-09 Analytical Solutions of Fractional-Order Heat and Wave Equations by the Natural Transform Decomposition Method Khan, Hassan Shah, Rasool Kumam, Poom Arif, Muhammad Entropy (Basel) Article In the present article, fractional-order heat and wave equations are solved by using the natural transform decomposition method. The series form solutions are obtained for fractional-order heat and wave equations, using the proposed method. Some numerical examples are presented to understand the procedure of natural transform decomposition method. The natural transform decomposition method procedure has shown that less volume of calculations and a high rate of convergence can be easily applied to other nonlinear problems. Therefore, the natural transform decomposition method is considered to be one of the best analytical techniques, in order to solve fractional-order linear and nonlinear Partial deferential equations, particularly fractional-order heat and wave equation. MDPI 2019-06-16 /pmc/articles/PMC7515102/ /pubmed/33267311 http://dx.doi.org/10.3390/e21060597 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
Khan, Hassan
Shah, Rasool
Kumam, Poom
Arif, Muhammad
Analytical Solutions of Fractional-Order Heat and Wave Equations by the Natural Transform Decomposition Method
title Analytical Solutions of Fractional-Order Heat and Wave Equations by the Natural Transform Decomposition Method
title_full Analytical Solutions of Fractional-Order Heat and Wave Equations by the Natural Transform Decomposition Method
title_fullStr Analytical Solutions of Fractional-Order Heat and Wave Equations by the Natural Transform Decomposition Method
title_full_unstemmed Analytical Solutions of Fractional-Order Heat and Wave Equations by the Natural Transform Decomposition Method
title_short Analytical Solutions of Fractional-Order Heat and Wave Equations by the Natural Transform Decomposition Method
title_sort analytical solutions of fractional-order heat and wave equations by the natural transform decomposition method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515102/
https://www.ncbi.nlm.nih.gov/pubmed/33267311
http://dx.doi.org/10.3390/e21060597
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