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

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dc.contributor.authorJin, Qinian
dc.contributor.authorZhong, Min
dc.date.accessioned2015-12-13T22:29:15Z
dc.date.issued2013
dc.date.updated2015-12-11T08:47:34Z
dc.description.abstractIn 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
dc.identifier.issn0029-599X
dc.identifier.urihttp://hdl.handle.net/1885/74603
dc.publisherSpringer
dc.sourceNumerische Mathematik
dc.titleOn the iteratively regularized Gauss-Newton method in Banach spaces with applications to parameter identification problems
dc.typeJournal article
local.bibliographicCitation.issue4
local.bibliographicCitation.lastpage683
local.bibliographicCitation.startpage647
local.contributor.affiliationJin, Qinian, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationZhong, Min, Fudan University
local.contributor.authoruidJin, Qinian, u5085802
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor010200 - APPLIED MATHEMATICS
local.identifier.ariespublicationf5625xPUB4204
local.identifier.citationvolume124
local.identifier.doi10.1007/s00211-013-0529-5
local.identifier.scopusID2-s2.0-84880179380
local.identifier.thomsonID000321848900002
local.type.statusPublished Version

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