Skip navigation
Skip navigation

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

Jin, Qinian

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.

CollectionsANU Research Publications
Date published: 2008
Type: Journal article
URI: http://hdl.handle.net/1885/28798
Source: Inverse Problems
DOI: 10.1088/0266-5611/24/4/045002

Download

File Description SizeFormat Image
01_Jin_A_convergence_analysis_of_the_2008.pdf211.35 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator