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On solving implicitly defined inverse problems by SQP-approaches

In this paper two basic SQP-approaches for solving implicitly defined inverse problems are presented. Such problems often arises in parameter identification for differential equations. We also include regularization strategies which differ from similar problems in Optimal control. The main focus is on formulating saddle point problems for calculating the next iterate. Conditions for the unique and stable solvability of these problems are presented. The analytical considerations are illustrated by two examples including their discretizations and a numerical case study.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:ch1-200702148
Date18 December 2007
CreatorsHein, Torsten
ContributorsTU Chemnitz, Fakultät für Mathematik
PublisherUniversitätsbibliothek Chemnitz
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:preprint
Formatapplication/pdf, text/plain, application/zip
RightsDokument ist für Print on Demand freigegeben
Relationdcterms:isPartOf:Chemnitz Scientific Computing Preprints ; 07-10

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