Solutions of a Class of Sixth Order Boundary Value Problems Using the Reproducing Kernel Space

The approximate solution to a class of sixth order boundary value problems is obtained using the reproducing kernel space method. The numerical procedure is applied on linear and nonlinear boundary value problems. The approach provides the solution in terms of a convergent series with easily computa...

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Main Authors: Ghazala Akram, Hamood Ur Rehman
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2013/560590
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spelling doaj-2b3e652f9ddd4abe8e62c3ae9c765d512020-11-25T00:25:45ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/560590560590Solutions of a Class of Sixth Order Boundary Value Problems Using the Reproducing Kernel SpaceGhazala Akram0Hamood Ur Rehman1Department of Mathematics, University of the Punjab, Lahore 54590, PakistanDepartment of Mathematics, University of the Punjab, Lahore 54590, PakistanThe approximate solution to a class of sixth order boundary value problems is obtained using the reproducing kernel space method. The numerical procedure is applied on linear and nonlinear boundary value problems. The approach provides the solution in terms of a convergent series with easily computable components. The present method is simple from the computational point of view, resulting in speed and accuracy significant improvements in scientific and engineering applications.It was observed that the errors in absolute values are better than compared (Che Hussin and Kiliçman (2011) and, Noor and Mahyud-Din (2008), Wazwaz (2001), Pandey (2012)).Furthermore, the nonlinear boundary value problem for the integrodifferential equation has been investigated arising in chemical engineering, underground water flow and population dynamics, and other fields of physics and mathematical chemistry. The performance of reproducing kernel functions is shown to be very encouraging by experimental results.http://dx.doi.org/10.1155/2013/560590
collection DOAJ
language English
format Article
sources DOAJ
author Ghazala Akram
Hamood Ur Rehman
spellingShingle Ghazala Akram
Hamood Ur Rehman
Solutions of a Class of Sixth Order Boundary Value Problems Using the Reproducing Kernel Space
Abstract and Applied Analysis
author_facet Ghazala Akram
Hamood Ur Rehman
author_sort Ghazala Akram
title Solutions of a Class of Sixth Order Boundary Value Problems Using the Reproducing Kernel Space
title_short Solutions of a Class of Sixth Order Boundary Value Problems Using the Reproducing Kernel Space
title_full Solutions of a Class of Sixth Order Boundary Value Problems Using the Reproducing Kernel Space
title_fullStr Solutions of a Class of Sixth Order Boundary Value Problems Using the Reproducing Kernel Space
title_full_unstemmed Solutions of a Class of Sixth Order Boundary Value Problems Using the Reproducing Kernel Space
title_sort solutions of a class of sixth order boundary value problems using the reproducing kernel space
publisher Hindawi Limited
series Abstract and Applied Analysis
issn 1085-3375
1687-0409
publishDate 2013-01-01
description The approximate solution to a class of sixth order boundary value problems is obtained using the reproducing kernel space method. The numerical procedure is applied on linear and nonlinear boundary value problems. The approach provides the solution in terms of a convergent series with easily computable components. The present method is simple from the computational point of view, resulting in speed and accuracy significant improvements in scientific and engineering applications.It was observed that the errors in absolute values are better than compared (Che Hussin and Kiliçman (2011) and, Noor and Mahyud-Din (2008), Wazwaz (2001), Pandey (2012)).Furthermore, the nonlinear boundary value problem for the integrodifferential equation has been investigated arising in chemical engineering, underground water flow and population dynamics, and other fields of physics and mathematical chemistry. The performance of reproducing kernel functions is shown to be very encouraging by experimental results.
url http://dx.doi.org/10.1155/2013/560590
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