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Journal of Inverse and Ill-posed Problems

Editor-in-Chief: Kabanikhin, Sergey I.

6 Issues per year


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Convergence analysis of an inexact iteratively regularized Gauss-Newton method under general source conditions

S. Langer1 / T. Hohage2

1Institut für Numerische und Angewandte Mathematik, Georg-August-Universität, Lotzestr. 16-18, 37083 Göttingen, Germany. Email:

2Institut für Numerische und Angewandte Mathematik, Georg-August-Universität, Lotzestr. 16-18, 37083 Göttingen, Germany. Email:

Citation Information: Journal of Inverse and Ill-posed Problems jiip. Volume 15, Issue 3, Pages 311–327, ISSN (Online) 1569-3953, ISSN (Print) 0928-0219, DOI: 10.1515/jiip.2007.017, June 2007

Publication History

Published Online:
2007-06-25

In this paper we improve existing convergence and convergence rate results for the iteratively regularized Gauss-Newton method in two respects: First we show optimal rates of convergence under general source conditions, and second we assume that the linearized equations are solved only approximately in each Newton step. The latter point is important for large scale problems where the linearized equation can often only be solved iteratively, e.g. by the conjugate gradient method.

Key Words: Nonlinear inverse problems,; regularized Newton methods,; source conditions,; convergence rates,; CG-method.

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