A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow Problems

We propose a simple and efficient method for solving highly nonlinear systems of boundary layer flow problems with exponentially decaying profiles. The algorithm of the proposed method is based on an innovative idea of linearizing and decoupling the governing systems of equations and reducing them i...

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Main Author: S. S. Motsa
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/423628
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author S. S. Motsa
author_facet S. S. Motsa
author_sort S. S. Motsa
collection DOAJ
description We propose a simple and efficient method for solving highly nonlinear systems of boundary layer flow problems with exponentially decaying profiles. The algorithm of the proposed method is based on an innovative idea of linearizing and decoupling the governing systems of equations and reducing them into a sequence of subsystems of differential equations which are solved using spectral collocation methods. The applicability of the proposed method, hereinafter referred to as the spectral local linearization method (SLLM), is tested on some well-known boundary layer flow equations. The numerical results presented in this investigation indicate that the proposed method, despite being easy to develop and numerically implement, is very robust in that it converges rapidly to yield accurate results and is more efficient in solving very large systems of nonlinear boundary value problems of the similarity variable boundary layer type. The accuracy and numerical stability of the SLLM can further be improved by using successive overrelaxation techniques.
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publishDate 2013-01-01
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series Journal of Applied Mathematics
spelling doaj-art-05db47d49d4f416daae0dd863048f36e2025-02-03T07:26:12ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/423628423628A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow ProblemsS. S. Motsa0School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3209, South AfricaWe propose a simple and efficient method for solving highly nonlinear systems of boundary layer flow problems with exponentially decaying profiles. The algorithm of the proposed method is based on an innovative idea of linearizing and decoupling the governing systems of equations and reducing them into a sequence of subsystems of differential equations which are solved using spectral collocation methods. The applicability of the proposed method, hereinafter referred to as the spectral local linearization method (SLLM), is tested on some well-known boundary layer flow equations. The numerical results presented in this investigation indicate that the proposed method, despite being easy to develop and numerically implement, is very robust in that it converges rapidly to yield accurate results and is more efficient in solving very large systems of nonlinear boundary value problems of the similarity variable boundary layer type. The accuracy and numerical stability of the SLLM can further be improved by using successive overrelaxation techniques.http://dx.doi.org/10.1155/2013/423628
spellingShingle S. S. Motsa
A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow Problems
Journal of Applied Mathematics
title A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow Problems
title_full A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow Problems
title_fullStr A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow Problems
title_full_unstemmed A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow Problems
title_short A New Spectral Local Linearization Method for Nonlinear Boundary Layer Flow Problems
title_sort new spectral local linearization method for nonlinear boundary layer flow problems
url http://dx.doi.org/10.1155/2013/423628
work_keys_str_mv AT ssmotsa anewspectrallocallinearizationmethodfornonlinearboundarylayerflowproblems
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