Exponential Convergence for Numerical Solution of Integral Equations Using Radial Basis Functions
We solve some different type of Urysohn integral equations by using the radial basis functions. These types include the linear and nonlinear Fredholm, Volterra, and mixed Volterra-Fredholm integral equations. Our main aim is to investigate the rate of convergence to solve these equations using the r...
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/710437 |
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doaj-99a41bee6fdc431f9841f1de204bd5b02020-11-24T23:08:41ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/710437710437Exponential Convergence for Numerical Solution of Integral Equations Using Radial Basis FunctionsZakieh Avazzadeh0Mohammad Heydari1Wen Chen2G. B. Loghmani3State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Mechanics and Materials, Hohai University, Nanjing 210098, ChinaYoung Researchers and Elite Club, Islamic Azad University, Ashkezar Branch, Ashkezar 8941613695, IranState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Mechanics and Materials, Hohai University, Nanjing 210098, ChinaDepartment of Mathematics, Yazd University, P.O. Box 89195-741, Yazd, IranWe solve some different type of Urysohn integral equations by using the radial basis functions. These types include the linear and nonlinear Fredholm, Volterra, and mixed Volterra-Fredholm integral equations. Our main aim is to investigate the rate of convergence to solve these equations using the radial basis functions which have normic structure that utilize approximation in higher dimensions. Of course, the use of this method often leads to ill-posed systems. Thus we propose an algorithm to improve the results. Numerical results show that this method leads to the exponential convergence for solving integral equations as it was already confirmed for partial and ordinary differential equations.http://dx.doi.org/10.1155/2014/710437 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zakieh Avazzadeh Mohammad Heydari Wen Chen G. B. Loghmani |
spellingShingle |
Zakieh Avazzadeh Mohammad Heydari Wen Chen G. B. Loghmani Exponential Convergence for Numerical Solution of Integral Equations Using Radial Basis Functions Journal of Applied Mathematics |
author_facet |
Zakieh Avazzadeh Mohammad Heydari Wen Chen G. B. Loghmani |
author_sort |
Zakieh Avazzadeh |
title |
Exponential Convergence for Numerical Solution of Integral Equations Using Radial Basis Functions |
title_short |
Exponential Convergence for Numerical Solution of Integral Equations Using Radial Basis Functions |
title_full |
Exponential Convergence for Numerical Solution of Integral Equations Using Radial Basis Functions |
title_fullStr |
Exponential Convergence for Numerical Solution of Integral Equations Using Radial Basis Functions |
title_full_unstemmed |
Exponential Convergence for Numerical Solution of Integral Equations Using Radial Basis Functions |
title_sort |
exponential convergence for numerical solution of integral equations using radial basis functions |
publisher |
Hindawi Limited |
series |
Journal of Applied Mathematics |
issn |
1110-757X 1687-0042 |
publishDate |
2014-01-01 |
description |
We solve some different type of Urysohn integral equations by using the radial basis functions. These types include the linear and nonlinear Fredholm, Volterra, and mixed Volterra-Fredholm integral equations. Our main aim is to investigate the rate of convergence to solve these equations using the radial basis functions which have normic structure that utilize approximation in higher dimensions. Of course, the use of this method often leads to ill-posed systems. Thus we propose an algorithm to improve the results. Numerical results show that this method leads to the exponential convergence for solving integral equations as it was already confirmed for partial and ordinary differential equations. |
url |
http://dx.doi.org/10.1155/2014/710437 |
work_keys_str_mv |
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1725612915506020352 |