Reproducing Kernel Method for Fractional Riccati Differential Equations

This paper is devoted to a new numerical method for fractional Riccati differential equations. The method combines the reproducing kernel method and the quasilinearization technique. Its main advantage is that it can produce good approximations in a larger interval, rather than a local vicinity of t...

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Main Authors: X. Y. Li, B. Y. Wu, R. T. Wang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/970967
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author X. Y. Li
B. Y. Wu
R. T. Wang
author_facet X. Y. Li
B. Y. Wu
R. T. Wang
author_sort X. Y. Li
collection DOAJ
description This paper is devoted to a new numerical method for fractional Riccati differential equations. The method combines the reproducing kernel method and the quasilinearization technique. Its main advantage is that it can produce good approximations in a larger interval, rather than a local vicinity of the initial position. Numerical results are compared with some existing methods to show the accuracy and effectiveness of the present method.
format Article
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institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2014-01-01
publisher Wiley
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series Abstract and Applied Analysis
spelling doaj-art-d90107da69b0420b8d117696773118062025-02-03T07:23:35ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/970967970967Reproducing Kernel Method for Fractional Riccati Differential EquationsX. Y. Li0B. Y. Wu1R. T. Wang2Department of Mathematics, Changshu Institute of Technology, Suzhou, Jiangsu 215500, ChinaDepartment of Mathematics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaDepartment of Mathematics, Changshu Institute of Technology, Suzhou, Jiangsu 215500, ChinaThis paper is devoted to a new numerical method for fractional Riccati differential equations. The method combines the reproducing kernel method and the quasilinearization technique. Its main advantage is that it can produce good approximations in a larger interval, rather than a local vicinity of the initial position. Numerical results are compared with some existing methods to show the accuracy and effectiveness of the present method.http://dx.doi.org/10.1155/2014/970967
spellingShingle X. Y. Li
B. Y. Wu
R. T. Wang
Reproducing Kernel Method for Fractional Riccati Differential Equations
Abstract and Applied Analysis
title Reproducing Kernel Method for Fractional Riccati Differential Equations
title_full Reproducing Kernel Method for Fractional Riccati Differential Equations
title_fullStr Reproducing Kernel Method for Fractional Riccati Differential Equations
title_full_unstemmed Reproducing Kernel Method for Fractional Riccati Differential Equations
title_short Reproducing Kernel Method for Fractional Riccati Differential Equations
title_sort reproducing kernel method for fractional riccati differential equations
url http://dx.doi.org/10.1155/2014/970967
work_keys_str_mv AT xyli reproducingkernelmethodforfractionalriccatidifferentialequations
AT bywu reproducingkernelmethodforfractionalriccatidifferentialequations
AT rtwang reproducingkernelmethodforfractionalriccatidifferentialequations