A convergence analysis of the iteratively regularized Gauss-Newton method under the Lipschitz condition

被引:23
|
作者
Jin, Qinian [1 ]
机构
[1] Univ Texas Austin, Dept Math, Austin, TX 78712 USA
关键词
D O I
10.1088/0266-5611/24/4/045002
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper we consider the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed inverse problems. Under merely the Lipschitz condition, we prove that this method together with an a posteriori stopping rule defines an order optimal regularization method if the solution is regular in some suitable sense.
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页数:16
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