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The Regularizing Effect of the Golub-Kahan Iterative Bidiagonalization and Revealing the Noise Level in the Data

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    SYSNO ASEP0329240
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleThe Regularizing Effect of the Golub-Kahan Iterative Bidiagonalization and Revealing the Noise Level in the Data
    TitleRegularizační efekt Golub-Kahanovy bidiagonalizace a vyjevování hladiny šumu v datech
    Author(s) Hnětynková, Iveta (UIVT-O) SAI, RID, ORCID
    Plešinger, Martin (UIVT-O) RID, SAI, ORCID
    Strakoš, Zdeněk (UIVT-O) SAI, RID, ORCID
    Source TitleBit. - : Springer - ISSN 0006-3835
    Roč. 49, č. 4 (2009), s. 669-696
    Number of pages28 s.
    Languageeng - English
    CountrySE - Sweden
    Keywordsill-posed problems ; Golub-Kahan iterative bidiagonalization ; Lanczos tridiagonalization ; noise revealing
    Subject RIVBA - General Mathematics
    R&D ProjectsIAA100300802 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    UT WOS000271948000002
    EID SCOPUS77949654686
    DOI10.1007/s10543-009-0239-7
    AnnotationRegularization techniques based on the Golub-Kahan iterative bidiagonalization belong among popular approaches for solving large ill-posed problems. First, the original problem is projected onto a lower dimensional subspace using the bidiagonalization algorithm, which by itself represents a form of regularization by projection. The projected problem, however, inherits a part of the ill-posedness of the original problem, and therefore some form of inner regularization must be applied. Stopping criteria for the whole process are then based on the regularization of the projected (small) problem. In this paper we consider an ill-posed problem with a noisy right-hand side (observation vector), where the noise level is unknown. We show how the information from the Golub-Kahan iterative bidiagonalization can be used for estimating the noise level. Such information can be useful for constructing efficient stopping criteria in solving ill-posed problems.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2010
Number of the records: 1  

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