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dc.contributor.authorFotland, Bjørn Haraldeng
dc.date.accessioned2009-03-27T07:08:19Z
dc.date.available2009-03-27T07:08:19Z
dc.date.issued2008eng
dc.date.submitted2008-05-14eng
dc.identifier.urihttps://hdl.handle.net/1956/3207
dc.description.abstractIn this thesis a method for the partially norm constrained least squares problem is presented. The method relies on a large-scale trust-region solver and has a low storage requirement. A combination of image misalignment and the inverse problem deblurring illustrates the use of the method.en_US
dc.format.extent608082 byteseng
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherThe University of Bergenen_US
dc.subjectMatrix-freeeng
dc.subjectRegularizationeng
dc.subjectLarge-scaleeng
dc.subjectMisalignmenteng
dc.subjectDeblurringeng
dc.titleA matrix-free method for regularisation with unrestricted variablesen_US
dc.typeMaster thesis
dc.rights.holderThe authoren_US
dc.rights.holderCopyright the author. All rights reserveden_US
dc.description.degreeMaster i Informatikken_US
dc.description.localcodeMAMN-INF
dc.description.localcodeINFL
dc.subject.nus754199eng
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::nob
fs.subjectcodeINFL


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