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Homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy Volterra integral equations of the second kind

In this article, we focus on linear and nonlinear fuzzy Volterra integral equations of the second kind and we propose a numerical scheme using homotopy perturbation method (HPM) to obtain fuzzy approximate solutions to them. To facilitate the benefits of this proposal, an algorithmic form of the HPM...

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Detalles Bibliográficos
Autores principales: Narayanamoorthy, S., Sathiyapriya, S. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816960/
https://www.ncbi.nlm.nih.gov/pubmed/27047713
http://dx.doi.org/10.1186/s40064-016-2038-3
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author Narayanamoorthy, S.
Sathiyapriya, S. P.
author_facet Narayanamoorthy, S.
Sathiyapriya, S. P.
author_sort Narayanamoorthy, S.
collection PubMed
description In this article, we focus on linear and nonlinear fuzzy Volterra integral equations of the second kind and we propose a numerical scheme using homotopy perturbation method (HPM) to obtain fuzzy approximate solutions to them. To facilitate the benefits of this proposal, an algorithmic form of the HPM is also designed to handle the same. In order to illustrate the potentiality of the approach, two test problems are offered and the obtained numerical results are compared with the existing exact solutions and are depicted in terms of plots to reveal its precision and reliability.
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spelling pubmed-48169602016-04-04 Homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy Volterra integral equations of the second kind Narayanamoorthy, S. Sathiyapriya, S. P. Springerplus Research In this article, we focus on linear and nonlinear fuzzy Volterra integral equations of the second kind and we propose a numerical scheme using homotopy perturbation method (HPM) to obtain fuzzy approximate solutions to them. To facilitate the benefits of this proposal, an algorithmic form of the HPM is also designed to handle the same. In order to illustrate the potentiality of the approach, two test problems are offered and the obtained numerical results are compared with the existing exact solutions and are depicted in terms of plots to reveal its precision and reliability. Springer International Publishing 2016-03-31 /pmc/articles/PMC4816960/ /pubmed/27047713 http://dx.doi.org/10.1186/s40064-016-2038-3 Text en © Narayanamoorthy and Sathiyapriya. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Narayanamoorthy, S.
Sathiyapriya, S. P.
Homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy Volterra integral equations of the second kind
title Homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy Volterra integral equations of the second kind
title_full Homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy Volterra integral equations of the second kind
title_fullStr Homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy Volterra integral equations of the second kind
title_full_unstemmed Homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy Volterra integral equations of the second kind
title_short Homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy Volterra integral equations of the second kind
title_sort homotopy perturbation method: a versatile tool to evaluate linear and nonlinear fuzzy volterra integral equations of the second kind
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816960/
https://www.ncbi.nlm.nih.gov/pubmed/27047713
http://dx.doi.org/10.1186/s40064-016-2038-3
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