L∞-norm computation for large-scale descriptor systems using structured iterative eigensolvers / Ryan Lowe, Matthias Voigt

cbs.date.changed2021-07-27
cbs.date.creation2016-10-20
cbs.picatypeOa
cbs.publication.displayformMagdeburg : Max Planck Institute for Dynamics of Complex Technical Systems, October 21, 2013
dc.contributor.authorLowe, Ryan
dc.contributor.authorVoigt, Matthias
dc.contributor.otherMax-Planck-Institut für Dynamik Komplexer Technischer Systeme
dc.date.accessioned2025-05-29T00:26:31Z
dc.date.issued2013
dc.description.abstractAbstract: In this report, we implement a method of computing L∞-norms for descriptor systems using structured iterative eigensolvers. In particular, the algorithm computes some desired imaginary eigenvalues of an even matrix pencil and uses them to determine an upper and lower bound to the L∞-norm. We finally compare our method to a previously developed algorithm using structured pseudospectra. Numerical examples demonstrate the reliability and accuracy of the new method along with a significant drop in the runtime.de
dc.format.extent1 Online-Ressource (11 Seiten = 0,21 MB) : Diagramme
dc.genrebook
dc.identifier.ppn870596365
dc.identifier.urihttps://epflicht.bibliothek.uni-halle.de/handle/123456789/3908
dc.identifier.urnurn:nbn:de:gbv:3:2-64356
dc.identifier.vl-id2482598
dc.language.isoeng
dc.publisherMax Planck Institute for Dynamics of Complex Technical Systems
dc.relation.ispartofseriesMax Planck Institute Magdeburg Preprints ; 13-20 ppn:870173030
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc510
dc.titleL∞-norm computation for large-scale descriptor systems using structured iterative eigensolvers / Ryan Lowe, Matthias Voigt
dc.typeBook
dspace.entity.typeMonograph
local.accessrights.itemAnonymous
local.openaccesstrue

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L∞-norm computation for large-scale descriptor systems using structured iterative eigensolvers
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