Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems
We present a direct solution technique for approximating linear multiterm fractional differential equations (FDEs) on semi-infinite interval, using generalized Laguerre polynomials. We derive the operational matrix of Caputo fractional derivative of the generalized Laguerre polynomials which is appl...
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2013/546502 |
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doaj-16a10e0cd7564c7e80a66e94a8c358f22020-11-24T22:07:28ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/546502546502Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value ProblemsD. Baleanu0A. H. Bhrawy1T. M. Taha2Department of Mathematics and Computer Sciences, Faculty of Arts and Sciences, Cankaya University, Eskisehir Yolu 29.Km, 06810 Ankara, TurkeyDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Mathematics, Faculty of Science, Beni-Suef University, Beni Suef, EgyptWe present a direct solution technique for approximating linear multiterm fractional differential equations (FDEs) on semi-infinite interval, using generalized Laguerre polynomials. We derive the operational matrix of Caputo fractional derivative of the generalized Laguerre polynomials which is applied together with generalized Laguerre tau approximation for implementing a spectral solution of linear multiterm FDEs on semi-infinite interval subject to initial conditions. The generalized Laguerre pseudo-spectral approximation based on the generalized Laguerre operational matrix is investigated to reduce the nonlinear multiterm FDEs and its initial conditions to nonlinear algebraic system, thus greatly simplifying the problem. Through several numerical examples, we confirm the accuracy and performance of the proposed spectral algorithms. Indeed, the methods yield accurate results, and the exact solutions are achieved for some tested problems.http://dx.doi.org/10.1155/2013/546502 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
D. Baleanu A. H. Bhrawy T. M. Taha |
spellingShingle |
D. Baleanu A. H. Bhrawy T. M. Taha Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems Abstract and Applied Analysis |
author_facet |
D. Baleanu A. H. Bhrawy T. M. Taha |
author_sort |
D. Baleanu |
title |
Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems |
title_short |
Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems |
title_full |
Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems |
title_fullStr |
Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems |
title_full_unstemmed |
Two Efficient Generalized Laguerre Spectral Algorithms for Fractional Initial Value Problems |
title_sort |
two efficient generalized laguerre spectral algorithms for fractional initial value problems |
publisher |
Hindawi Limited |
series |
Abstract and Applied Analysis |
issn |
1085-3375 1687-0409 |
publishDate |
2013-01-01 |
description |
We present a direct solution technique for approximating linear multiterm fractional differential equations (FDEs) on semi-infinite interval, using generalized Laguerre polynomials. We derive the operational matrix of Caputo fractional derivative of the generalized Laguerre polynomials which is applied together with generalized Laguerre tau approximation for implementing a spectral solution of linear multiterm FDEs on semi-infinite interval subject to initial conditions. The generalized Laguerre pseudo-spectral approximation based on the generalized Laguerre operational matrix is investigated to reduce the nonlinear multiterm FDEs and its initial conditions to nonlinear algebraic system, thus greatly simplifying the problem. Through several numerical examples, we confirm the accuracy and performance of the proposed spectral algorithms. Indeed, the methods yield accurate results, and the exact solutions are achieved for some tested problems. |
url |
http://dx.doi.org/10.1155/2013/546502 |
work_keys_str_mv |
AT dbaleanu twoefficientgeneralizedlaguerrespectralalgorithmsforfractionalinitialvalueproblems AT ahbhrawy twoefficientgeneralizedlaguerrespectralalgorithmsforfractionalinitialvalueproblems AT tmtaha twoefficientgeneralizedlaguerrespectralalgorithmsforfractionalinitialvalueproblems |
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1725820240720297984 |