Reproducing Kernel Method with Global Derivative

Ordinary differential equations describe several phenomena in different fields of engineering and physics. Our aim is to use the reproducing kernel Hilbert space method (RKHSM) to find a solution to some ordinary differential equations (ODEs) that are described by using the global derivative. In thi...

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Main Authors: Nourhane Attia, Ali Akgül, Abdon Atangana
Format: Article
Language:English
Published: Hindawi Limited 2023-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2023/2726735
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author Nourhane Attia
Ali Akgül
Abdon Atangana
author_facet Nourhane Attia
Ali Akgül
Abdon Atangana
author_sort Nourhane Attia
collection DOAJ
description Ordinary differential equations describe several phenomena in different fields of engineering and physics. Our aim is to use the reproducing kernel Hilbert space method (RKHSM) to find a solution to some ordinary differential equations (ODEs) that are described by using the global derivative. In this research, we used the RKHSM to construct new numerical solutions for nonlinear ODEs with global derivative. The used method systematically produces analytic and approximate solutions in the series’s form. We tested three applications for showing the performance of the RKHSM.
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spelling doaj.art-501c584beae641f691e787d74202fcfb2023-05-27T00:00:05ZengHindawi LimitedJournal of Function Spaces2314-88882023-01-01202310.1155/2023/2726735Reproducing Kernel Method with Global DerivativeNourhane Attia0Ali Akgül1Abdon Atangana2National High School for Marine Sciences and Coastal (ENSSMAL)Department of Computer Science and MathematicsInstitute for Groundwater StudiesOrdinary differential equations describe several phenomena in different fields of engineering and physics. Our aim is to use the reproducing kernel Hilbert space method (RKHSM) to find a solution to some ordinary differential equations (ODEs) that are described by using the global derivative. In this research, we used the RKHSM to construct new numerical solutions for nonlinear ODEs with global derivative. The used method systematically produces analytic and approximate solutions in the series’s form. We tested three applications for showing the performance of the RKHSM.http://dx.doi.org/10.1155/2023/2726735
spellingShingle Nourhane Attia
Ali Akgül
Abdon Atangana
Reproducing Kernel Method with Global Derivative
Journal of Function Spaces
title Reproducing Kernel Method with Global Derivative
title_full Reproducing Kernel Method with Global Derivative
title_fullStr Reproducing Kernel Method with Global Derivative
title_full_unstemmed Reproducing Kernel Method with Global Derivative
title_short Reproducing Kernel Method with Global Derivative
title_sort reproducing kernel method with global derivative
url http://dx.doi.org/10.1155/2023/2726735
work_keys_str_mv AT nourhaneattia reproducingkernelmethodwithglobalderivative
AT aliakgul reproducingkernelmethodwithglobalderivative
AT abdonatangana reproducingkernelmethodwithglobalderivative