On the s-procedure and some variants

buir.advisorPınar, Mustafa Ç.
dc.contributor.authorDerinkuyu, Kürşad
dc.date.accessioned2016-07-01T11:00:27Z
dc.date.available2016-07-01T11:00:27Z
dc.date.issued2004
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractIn this thesis, we deal with the S-procedure that corresponds to verifying that the minimum of a quadratic function over constraints consisting of quadratic functions is positive. S-procedure is an instrumental tool in control theory and robust optimization analysis. It is also used in linear matrix inequality (or semi definite programming) reformulations and analysis of quadratic programming. We improve an error bound in the Approximate S-Lemma used in establishing levels of conservatism results for approximate robust counterparts. Moreover we extend the S-procedure and obtain some general results in this field. Finally, we get a bound similar to Nesterov’s bound for trust region subproblem, which consists in minimizing an indefinite quadratic function subject to a norm-1 constraint by using the Approximate S-Lemma.en_US
dc.description.provenanceMade available in DSpace on 2016-07-01T11:00:27Z (GMT). No. of bitstreams: 1 0002558.pdf: 348018 bytes, checksum: f7dde91c94b666418f7c7a5dcba049d5 (MD5) Previous issue date: 2004en
dc.description.statementofresponsibilityDerinkuyu, Kürşaden_US
dc.format.extentviii, 61 leavesen_US
dc.identifier.itemidBILKUTUPB054775
dc.identifier.urihttp://hdl.handle.net/11693/29496
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectS-procedureen_US
dc.subjectApproximate S-Lemmaen_US
dc.subjectExtended S-procedureen_US
dc.subjectrobust optimizationen_US
dc.subjectconic) quadratic programmingen_US
dc.subject.lccQA402.3 .D47 2004en_US
dc.subject.lcshControl theory.en_US
dc.titleOn the s-procedure and some variantsen_US
dc.typeThesisen_US
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
0002558.pdf
Size:
339.86 KB
Format:
Adobe Portable Document Format
Description:
Full printable version