An efficient technique based on least-squares method for fractional integro-differential equations

In this paper, we investigate an efficient technique for solving fractional integro-differential equations (FIDEs) that have numerous applications in various fields of science. The proposed technique is based upon the Legendre orthonormal polynomial and least Csquares method (LSM). By dividing the d...

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Main Authors: Yuntao Jia, Minqiang Xu, Yingzhen Lin, Danhua Jiang
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016822005634
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author Yuntao Jia
Minqiang Xu
Yingzhen Lin
Danhua Jiang
author_facet Yuntao Jia
Minqiang Xu
Yingzhen Lin
Danhua Jiang
author_sort Yuntao Jia
collection DOAJ
description In this paper, we investigate an efficient technique for solving fractional integro-differential equations (FIDEs) that have numerous applications in various fields of science. The proposed technique is based upon the Legendre orthonormal polynomial and least Csquares method (LSM). By dividing the domain into n cells, a k-th order polynomial approximate solution in each cell can be obtained by LSM. The unique solvability and stability of the proposed numerical scheme are proven by analyzing the condition number of the matrix of the linear system. Moreover, the optimal convergence order under W22–norm is provided as well. Numerical examples are studied to verify our theoretical discovery. Comparison with the traditional reproducing kernel method and C3-spline method illustrates that our algorithm can obtain a more accurate approximating solution.
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spelling doaj.art-74d5efb168814f23b5b35a8e94b89e4c2023-01-05T06:46:07ZengElsevierAlexandria Engineering Journal1110-01682023-02-016497105An efficient technique based on least-squares method for fractional integro-differential equationsYuntao Jia0Minqiang Xu1Yingzhen Lin2Danhua Jiang3School of Science, Zhuhai Campus, Beijing Institute of Technology, Zhuhai, Guangdong 519085, ChinaCollege of Science, Zhejiang University of Technology, Hangzhou 310014, ChinaSchool of Science, Zhuhai Campus, Beijing Institute of Technology, Zhuhai, Guangdong 519085, ChinaCollege of Science, Zhejiang University of Technology, Hangzhou 310014, ChinaIn this paper, we investigate an efficient technique for solving fractional integro-differential equations (FIDEs) that have numerous applications in various fields of science. The proposed technique is based upon the Legendre orthonormal polynomial and least Csquares method (LSM). By dividing the domain into n cells, a k-th order polynomial approximate solution in each cell can be obtained by LSM. The unique solvability and stability of the proposed numerical scheme are proven by analyzing the condition number of the matrix of the linear system. Moreover, the optimal convergence order under W22–norm is provided as well. Numerical examples are studied to verify our theoretical discovery. Comparison with the traditional reproducing kernel method and C3-spline method illustrates that our algorithm can obtain a more accurate approximating solution.http://www.sciencedirect.com/science/article/pii/S1110016822005634FIDEsLSMStabilityOptimal convergence order
spellingShingle Yuntao Jia
Minqiang Xu
Yingzhen Lin
Danhua Jiang
An efficient technique based on least-squares method for fractional integro-differential equations
Alexandria Engineering Journal
FIDEs
LSM
Stability
Optimal convergence order
title An efficient technique based on least-squares method for fractional integro-differential equations
title_full An efficient technique based on least-squares method for fractional integro-differential equations
title_fullStr An efficient technique based on least-squares method for fractional integro-differential equations
title_full_unstemmed An efficient technique based on least-squares method for fractional integro-differential equations
title_short An efficient technique based on least-squares method for fractional integro-differential equations
title_sort efficient technique based on least squares method for fractional integro differential equations
topic FIDEs
LSM
Stability
Optimal convergence order
url http://www.sciencedirect.com/science/article/pii/S1110016822005634
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