Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2328
DC FieldValueLanguage
dc.contributor.authorLampe, Jörg-
dc.contributor.authorVoß, Heinrich-
dc.date.accessioned2019-07-16T14:42:48Z-
dc.date.available2019-07-16T14:42:48Z-
dc.date.issued2008-02-15-
dc.identifier.citationMathematical Modelling and Analysis 1 (13): 55-66 (2008)de_DE
dc.identifier.issn1648-3510de_DE
dc.identifier.urihttp://hdl.handle.net/11420/2924-
dc.description.abstractThe total least squares (TLS) method is a successful approach for linear problems if both the matrix and the right hand side are contaminated by some noise. In a recent paper Sima, Van Huffel and Golub suggested an iterative method for solving regularized TLS problems, where in each iteration step a quadratic eigenproblem has to be solved. In this paper we prove its global convergence, and we present an efficient implementation using an iterative projection method with thick updates.en
dc.language.isoende_DE
dc.publisherVilnius Gediminas Technical Universityde_DE
dc.relation.ispartofMathematical modelling and analysisde_DE
dc.rightsCC BY 4.0de_DE
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjecttotal least squares methodde_DE
dc.subjectregularizationde_DE
dc.subjectquadratic eigenvalue problemde_DE
dc.subject.ddc510: Mathematikde_DE
dc.titleGlobal convergence of RTLSQEP : a solver of regularized total least squares problems via quadratic eigenproblemsde_DE
dc.typeArticlede_DE
dc.identifier.urnurn:nbn:de:gbv:830-882.043821-
dc.identifier.doi10.15480/882.2328-
dc.type.diniarticle-
dc.subject.ddccode510-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.043821-
tuhh.oai.showtruede_DE
tuhh.abstract.englishThe total least squares (TLS) method is a successful approach for linear problems if both the matrix and the right hand side are contaminated by some noise. In a recent paper Sima, Van Huffel and Golub suggested an iterative method for solving regularized TLS problems, where in each iteration step a quadratic eigenproblem has to be solved. In this paper we prove its global convergence, and we present an efficient implementation using an iterative projection method with thick updates.de_DE
tuhh.publisher.doi10.3846/1392-6292.2008.13.55-66-
tuhh.publication.instituteMathematik E-10de_DE
tuhh.publication.instituteNumerische Simulation E-10 (H)de_DE
tuhh.identifier.doi10.15480/882.2328-
tuhh.type.opus(wissenschaftlicher) Artikel-
tuhh.institute.germanMathematik E-10de
tuhh.institute.englishMathematik E-10de_DE
tuhh.gvk.hasppnfalse-
openaire.rightsinfo:eu-repo/semantics/openAccessde_DE
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue1de_DE
tuhh.container.volume13de_DE
tuhh.container.startpage55de_DE
tuhh.container.endpage66de_DE
dc.relation.projectgrant number 13N9079de_DE
dc.rights.nationallicensefalsede_DE
dc.identifier.scopus2-s2.0-41149113440-
local.funding.infoBundesministerium für Bildung und Forschung, BMBFde_DE
datacite.resourceTypeJournal Article-
datacite.resourceTypeGeneralText-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.creatorOrcidLampe, Jörg-
item.creatorOrcidVoß, Heinrich-
item.languageiso639-1en-
item.creatorGNDLampe, Jörg-
item.creatorGNDVoß, Heinrich-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.mappedtypeArticle-
crisitem.project.grantno13N9079-
crisitem.author.deptMathematik E-10-
crisitem.author.deptMathematik E-10-
crisitem.author.orcid0000-0003-2394-375X-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
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