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Multilevel Jacobi and Gauss–Seidel type iteration methods for solving ill-posed integral equations

  • Xingjun Luo EMAIL logo , Wenyu Hu , Lingjuan Xiong and Fanchun Li
Published/Copyright: May 6, 2015

Abstract

In this paper, multilevel Jacobi and Gauss–Seidel type iteration methods with compression technique are developed for solving ill-posed integral equations by making use of the multiscale structure of the matrix representation of the integral operator. The methods are based on the combination of Tikhonov regularization and multiscale Galerkin methods, and lead to fast solutions of discrete regularization methods for the equations. Choice for an a posteriori regularization parameter is proposed. An optimal convergence order for the method with the choices of parameters is established. Numerical experiments are given to illustrate the efficiency of the method.

MSC: 65J20; 65R20

Funding source: Natural Science Foundation of China

Award Identifier / Grant number: 11061001

Funding source: Natural Science Foundation of China

Award Identifier / Grant number: 11361005

Funding source: Science Foundation for Young Scholars of Jiangxi Provincial Education Department

Award Identifier / Grant number: GJJ-13647

Funding source: Jiangxi Provincial Natural Science Foundation of China

Award Identifier / Grant number: 20151BAB201011

Funding source: Jiangxi Provincial Natural Science Foundation of China

Award Identifier / Grant number: 20151BAB211014

Funding source: Gannan Normal University

Award Identifier / Grant number: 14zb21

The authors are grateful to the anonymous referees for their helpful comments and suggestions.

Received: 2013-8-8
Revised: 2014-7-19
Accepted: 2015-3-5
Published Online: 2015-5-6
Published in Print: 2015-10-1

© 2015 by De Gruyter

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