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Approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using FRDTM
The main goal of this paper is to present a new approximate series solution of the multi-dimensional (heat-like) diffusion equation with time-fractional derivative in Caputo form using a semi-analytical approach: fractional-order reduced differential transform method (FRDTM). The efficiency of FRDTM...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448864/ https://www.ncbi.nlm.nih.gov/pubmed/26064639 http://dx.doi.org/10.1098/rsos.140511 |
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author | Singh, Brajesh K. Srivastava, Vineet K. |
author_facet | Singh, Brajesh K. Srivastava, Vineet K. |
author_sort | Singh, Brajesh K. |
collection | PubMed |
description | The main goal of this paper is to present a new approximate series solution of the multi-dimensional (heat-like) diffusion equation with time-fractional derivative in Caputo form using a semi-analytical approach: fractional-order reduced differential transform method (FRDTM). The efficiency of FRDTM is confirmed by considering four test problems of the multi-dimensional time fractional-order diffusion equation. FRDTM is a very efficient, effective and powerful mathematical tool which provides exact or very close approximate solutions for a wide range of real-world problems arising in engineering and natural sciences, modelled in terms of differential equations. |
format | Online Article Text |
id | pubmed-4448864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-44488642015-06-10 Approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using FRDTM Singh, Brajesh K. Srivastava, Vineet K. R Soc Open Sci Mathematics The main goal of this paper is to present a new approximate series solution of the multi-dimensional (heat-like) diffusion equation with time-fractional derivative in Caputo form using a semi-analytical approach: fractional-order reduced differential transform method (FRDTM). The efficiency of FRDTM is confirmed by considering four test problems of the multi-dimensional time fractional-order diffusion equation. FRDTM is a very efficient, effective and powerful mathematical tool which provides exact or very close approximate solutions for a wide range of real-world problems arising in engineering and natural sciences, modelled in terms of differential equations. The Royal Society Publishing 2015-04-29 /pmc/articles/PMC4448864/ /pubmed/26064639 http://dx.doi.org/10.1098/rsos.140511 Text en © 2015 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Mathematics Singh, Brajesh K. Srivastava, Vineet K. Approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using FRDTM |
title | Approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using FRDTM |
title_full | Approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using FRDTM |
title_fullStr | Approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using FRDTM |
title_full_unstemmed | Approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using FRDTM |
title_short | Approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using FRDTM |
title_sort | approximate series solution of multi-dimensional, time fractional-order (heat-like) diffusion equations using frdtm |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448864/ https://www.ncbi.nlm.nih.gov/pubmed/26064639 http://dx.doi.org/10.1098/rsos.140511 |
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