A convergence analysis of the iteratively regularized Gauss-Newton method under the Lipschitz condition
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Description
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.
Collections | ANU Research Publications |
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Date published: | 2008 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/28798 |
Source: | Inverse Problems |
DOI: | 10.1088/0266-5611/24/4/045002 |
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