Skip navigation
Skip navigation

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

Jin, Qinian; Zhong, Min

Description

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
URI: http://hdl.handle.net/1885/74603
Source: Numerische Mathematik
DOI: 10.1007/s00211-013-0529-5

Download

File Description SizeFormat Image
01_Jin_On_the_iteratively_regularized_2013.pdf635.64 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