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Efficient numerical technique for solution of delay Volterra-Fredholm integral equations using Haar wavelet

In this article, a computational Haar wavelet collocation technique is developed for the solution of linear delay integral equations. These equations include delay Fredholm, Volterra and Volterra-Fredholm integral equations. First we transform the derived estimates for these equations. After that, w...

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Detalles Bibliográficos
Autores principales: Amin, Rohul, Shah, Kamal, Asif, Muhammad, Khan, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553982/
https://www.ncbi.nlm.nih.gov/pubmed/33083601
http://dx.doi.org/10.1016/j.heliyon.2020.e05108
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author Amin, Rohul
Shah, Kamal
Asif, Muhammad
Khan, Imran
author_facet Amin, Rohul
Shah, Kamal
Asif, Muhammad
Khan, Imran
author_sort Amin, Rohul
collection PubMed
description In this article, a computational Haar wavelet collocation technique is developed for the solution of linear delay integral equations. These equations include delay Fredholm, Volterra and Volterra-Fredholm integral equations. First we transform the derived estimates for these equations. After that, we transform these estimates to a system of algebraic equations. Finally, we solve the obtained algebraic system by Gauss elimination technique. Numerical examples are taken from literature for checking the validity and convergence of the proposed technique. The maximum absolute and root mean square errors are compared with the exact solution. The convergence rate using distinct numbers of collocation points is also calculated, which is approximately equal to 2. All algorithms for the developed method are implemented in MATLAB (R2009b) software.
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spelling pubmed-75539822020-10-19 Efficient numerical technique for solution of delay Volterra-Fredholm integral equations using Haar wavelet Amin, Rohul Shah, Kamal Asif, Muhammad Khan, Imran Heliyon Research Article In this article, a computational Haar wavelet collocation technique is developed for the solution of linear delay integral equations. These equations include delay Fredholm, Volterra and Volterra-Fredholm integral equations. First we transform the derived estimates for these equations. After that, we transform these estimates to a system of algebraic equations. Finally, we solve the obtained algebraic system by Gauss elimination technique. Numerical examples are taken from literature for checking the validity and convergence of the proposed technique. The maximum absolute and root mean square errors are compared with the exact solution. The convergence rate using distinct numbers of collocation points is also calculated, which is approximately equal to 2. All algorithms for the developed method are implemented in MATLAB (R2009b) software. Elsevier 2020-10-06 /pmc/articles/PMC7553982/ /pubmed/33083601 http://dx.doi.org/10.1016/j.heliyon.2020.e05108 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Amin, Rohul
Shah, Kamal
Asif, Muhammad
Khan, Imran
Efficient numerical technique for solution of delay Volterra-Fredholm integral equations using Haar wavelet
title Efficient numerical technique for solution of delay Volterra-Fredholm integral equations using Haar wavelet
title_full Efficient numerical technique for solution of delay Volterra-Fredholm integral equations using Haar wavelet
title_fullStr Efficient numerical technique for solution of delay Volterra-Fredholm integral equations using Haar wavelet
title_full_unstemmed Efficient numerical technique for solution of delay Volterra-Fredholm integral equations using Haar wavelet
title_short Efficient numerical technique for solution of delay Volterra-Fredholm integral equations using Haar wavelet
title_sort efficient numerical technique for solution of delay volterra-fredholm integral equations using haar wavelet
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553982/
https://www.ncbi.nlm.nih.gov/pubmed/33083601
http://dx.doi.org/10.1016/j.heliyon.2020.e05108
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