Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.181
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dc.contributor.authorMackens, Wolfgang-
dc.contributor.authorVoß, Heinrich-
dc.date.accessioned2006-03-02T12:07:35Zde_DE
dc.date.available2006-03-02T12:07:35Zde_DE
dc.date.issued1997-01-
dc.identifier.urihttp://tubdok.tub.tuhh.de/handle/11420/183-
dc.description.abstractWe generalize the Guyan condensation of large symmetric eigenvalue problems to allow general degrees of freedom to be master variables. On one hand useful information from other condensation methods (such as Component Mode Synthesis) thus can be incorporated into the method. On the other hand this opens the way to iterative refinement of eigenvector approximations. Convergence of such a procedure follows from the result, that one step of (static) condensation is equivalent to one step of inverse subspace iteration. A short outlook on several applications is included.en
dc.language.isoende_DE
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectSymmetric eigenvalue problemde_DE
dc.subjectGuyan condensationde_DE
dc.subjectgeneralized condensationde_DE
dc.subject.ddc510: Mathematikde_DE
dc.titleNon nodal condensation of eigenvalue problemsde_DE
dc.typeWorking Paperde_DE
dc.date.updated2006-03-02T12:07:36Zde_DE
dc.identifier.urnurn:nbn:de:gbv:830-opus-2456de_DE
dc.identifier.doi10.15480/882.181-
dc.type.diniworkingPaper-
dc.subject.gndEigenwertproblemde
dc.subject.ddccode510-
dc.subject.msc65F15:Eigenvalues, eigenvectorsen
dc.subject.msccode65F15-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-opus-2456de_DE
tuhh.publikation.typworkingPaperde_DE
tuhh.opus.id245de_DE
tuhh.oai.showtruede_DE
dc.identifier.hdl11420/183-
tuhh.abstract.englishWe generalize the Guyan condensation of large symmetric eigenvalue problems to allow general degrees of freedom to be master variables. On one hand useful information from other condensation methods (such as Component Mode Synthesis) thus can be incorporated into the method. On the other hand this opens the way to iterative refinement of eigenvector approximations. Convergence of such a procedure follows from the result, that one step of (static) condensation is equivalent to one step of inverse subspace iteration. A short outlook on several applications is included.de_DE
tuhh.publication.instituteMathematik E-10de_DE
tuhh.identifier.doi10.15480/882.181-
tuhh.type.opusResearchPaper-
tuhh.institute.germanMathematik E-10de
tuhh.institute.englishMathematics E-10en
tuhh.institute.id47de_DE
tuhh.type.id17de_DE
tuhh.gvk.hasppnfalse-
dc.type.driverworkingPaper-
dc.identifier.oclc930767906-
dc.type.casraiWorking Paper-
tuhh.relation.ispartofseriesPreprints des Institutes für Mathematikde_DE
tuhh.relation.ispartofseriesnumber10de_DE
item.seriesrefPreprints des Institutes für Mathematik;10-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypeWorking Paper-
item.grantfulltextopen-
item.creatorOrcidMackens, Wolfgang-
item.creatorOrcidVoß, Heinrich-
item.openairecristypehttp://purl.org/coar/resource_type/c_8042-
item.creatorGNDMackens, Wolfgang-
item.creatorGNDVoß, Heinrich-
item.tuhhseriesidPreprints des Institutes für Mathematik-
item.cerifentitytypePublications-
crisitem.author.deptMathematik E-10-
crisitem.author.deptMathematik E-10-
crisitem.author.orcid0000-0003-2394-375X-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
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