Boundary layer challenges: A comparative analysis of two efficient meshless approaches

This article presents two meshless computational techniques: the radial basis function (RBF) method and the polynomial method, for numerically analyzing boundary layer problems, with a specific focus on singularly perturbed two-point boundary value problems. Both of these suggested meshless methods...

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Main Authors: Alshammari A.O., Khan M.N., Ahmad I.
Other Authors: 59156924200
Format: Article
Published: Elsevier B.V. 2025
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spelling my.uniten.dspace-365622025-03-03T15:43:05Z Boundary layer challenges: A comparative analysis of two efficient meshless approaches Alshammari A.O. Khan M.N. Ahmad I. 59156924200 57205304990 57220824630 This article presents two meshless computational techniques: the radial basis function (RBF) method and the polynomial method, for numerically analyzing boundary layer problems, with a specific focus on singularly perturbed two-point boundary value problems. Both of these suggested meshless methods offer an advantage over globally supported meshless techniques, as they involve approximating derivatives by employing a constrained set of nodes located in the neighborhood of each collocation node. As a result, they demand significantly reduced computational effort compared to the globally supported collocation method. To assess the accuracy of these methods, we employ the maximum error norm, and the results are presented in the form of tables and graphs. The simulation results demonstrate that both approaches exhibit robust performance in addressing the investigated boundary layer problems. ? 2024 The Author(s) Final 2025-03-03T07:43:05Z 2025-03-03T07:43:05Z 2024 Article 10.1016/j.padiff.2024.100743 2-s2.0-85195210383 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195210383&doi=10.1016%2fj.padiff.2024.100743&partnerID=40&md5=3941f0c5f708c81a94d443fac1dede8e https://irepository.uniten.edu.my/handle/123456789/36562 10 100743 All Open Access; Gold Open Access Elsevier B.V. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This article presents two meshless computational techniques: the radial basis function (RBF) method and the polynomial method, for numerically analyzing boundary layer problems, with a specific focus on singularly perturbed two-point boundary value problems. Both of these suggested meshless methods offer an advantage over globally supported meshless techniques, as they involve approximating derivatives by employing a constrained set of nodes located in the neighborhood of each collocation node. As a result, they demand significantly reduced computational effort compared to the globally supported collocation method. To assess the accuracy of these methods, we employ the maximum error norm, and the results are presented in the form of tables and graphs. The simulation results demonstrate that both approaches exhibit robust performance in addressing the investigated boundary layer problems. ? 2024 The Author(s)
author2 59156924200
author_facet 59156924200
Alshammari A.O.
Khan M.N.
Ahmad I.
format Article
author Alshammari A.O.
Khan M.N.
Ahmad I.
spellingShingle Alshammari A.O.
Khan M.N.
Ahmad I.
Boundary layer challenges: A comparative analysis of two efficient meshless approaches
author_sort Alshammari A.O.
title Boundary layer challenges: A comparative analysis of two efficient meshless approaches
title_short Boundary layer challenges: A comparative analysis of two efficient meshless approaches
title_full Boundary layer challenges: A comparative analysis of two efficient meshless approaches
title_fullStr Boundary layer challenges: A comparative analysis of two efficient meshless approaches
title_full_unstemmed Boundary layer challenges: A comparative analysis of two efficient meshless approaches
title_sort boundary layer challenges: a comparative analysis of two efficient meshless approaches
publisher Elsevier B.V.
publishDate 2025
_version_ 1825816065853095936
score 13.244413