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

Qinian Jin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number045002
JournalInverse Problems
Volume24
Issue number4
DOIs
Publication statusPublished - 1 Aug 2008
Externally publishedYes

Fingerprint

Dive into the research topics of 'A convergence analysis of the iteratively regularized Gauss-Newton method under the Lipschitz condition'. Together they form a unique fingerprint.

Cite this