Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4203
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorTanoğlu, Gamze
dc.contributor.authorZürnacı, Fatma-
dc.date.accessioned2014-11-20T09:13:06Z
dc.date.available2014-11-20T09:13:06Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/11147/4203
dc.descriptionThesis (Master)--Izmir Institute of Technology, Mathematics, Izmir, 2014en_US
dc.descriptionIncludes bibliographical references (leaves: 71-74)en_US
dc.descriptionText in English; Abstract: Turkish and Englishen_US
dc.descriptionix, 87 leavesen_US
dc.description.abstractThis thesis is concerned with the operator splitting method for the Fisher’s and Benjamin-Bono-Mahony type equations. We showthat the correct convergence rates inHs(R) space for Lie- Trotter and Strang splitting method which are obtained for these equations. In the proofs, the new framework originally introduced in (Holden, Lubich, and Risebro, 2013) is used. Numerical quadratures and Peano Kernel theorem, which is followed by the differentiation in Banach space are discussed In addition, we discuss the Sobolev space Hs(R) and give several properties of this space. With the help of these subjects, we derive error bounds for the first and second order splitting methods. Finally, we numerically check the convergence rates for the time step ∆t.en_US
dc.language.isoenen_US
dc.publisherIzmir Institute of Technologyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectOperator equationen_US
dc.subjectNumerical solutionsen_US
dc.subject.lcshNumerical analysisen_US
dc.titleConvergence analysis and numerical solutions of the Fisher's and Benjamin-Bono-Mahony equations by operator splitting methoden_US
dc.title.alternativeFisher ve Benjamin-Bono-Mahony denklemlerinin operatör ayırma metodu ile yakınsallık analizi ve nümerik çözümlerien_US
dc.typeMaster Thesisen_US
dc.institutionauthorZürnacı, Fatma-
dc.departmentThesis (Master)--İzmir Institute of Technology, Mathematicsen_US
dc.relation.publicationcategoryTezen_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeMaster Thesis-
Appears in Collections:Master Degree / Yüksek Lisans Tezleri
Files in This Item:
File Description SizeFormat 
10018637.pdfMasterThesis3.74 MBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

Page view(s)

230
checked on Nov 18, 2024

Download(s)

132
checked on Nov 18, 2024

Google ScholarTM

Check





Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.