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

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Date

2013

Authors

Jin, Qinian
Zhong, Min

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

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

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Citation

URI

http://hdl.handle.net/1885/74603

Collections

ANU Research Publications

Source

Numerische Mathematik

Type

Journal article

Book Title

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DOI

10.1007/s00211-013-0529-5

Restricted until

2037-12-31

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