A convergence analysis of nonlinear implicit iterative method for nonlinear ill-posed problems

被引:0
|
作者
Kang, Chuan-gang [1 ]
Wu, Zhitao [1 ]
机构
[1] Tianjin Polytech Univ, Dept Math, Tianjin 300387, Peoples R China
关键词
Nonlinear ill-posed problem; Nonlinear implicit iterative method; Hanke criterion; Discrepancy principle; TIKHONOV REGULARISATION; LANDWEBER ITERATION; REGULARIZATION; RATES;
D O I
10.1016/j.amc.2011.11.011
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Implicit iterative method acquires good effect in solving linear ill-posed problems. We have ever applied the idea of implicit iterative method to solve nonlinear ill-posed problems, under the restriction that a is appropriate large, we proved the monotonicity of iterative error and obtained the convergence and stability of iterative sequence, numerical results show that the implicit iterative method for nonlinear ill-posed problems is efficient. In this paper, we analyze the convergence and stability of the corresponding nonlinear implicit iterative method when alpha(k) are determined by Hanke criterion. (C) 2011 Elsevier Inc. All rights reserved.
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页码:5265 / 5275
页数:11
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