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On the iteratively regularized Gauss-Newton method in Banach spaces with applications to parameter identification problems

Jin, Qinian; Zhong, Min


In this paper we propose an extension of the iteratively regularized Gauss-Newton method to the Banach space setting by defining the iterates via convex optimization problems. We consider some a posteriori stopping rules to terminate the iteration and pre

CollectionsANU Research Publications
Date published: 2013
Type: Journal article
Source: Numerische Mathematik
DOI: 10.1007/s00211-013-0529-5


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