DC FieldValueLanguage
dc.contributor.authorJöres, Niklas-
dc.contributor.authorKaufmann, Christoph-
dc.contributor.authorSchnelle, Leona-
dc.contributor.authorCateriano Yáñez, Carlos-
dc.contributor.authorPangalos, Georg-
dc.contributor.authorLichtenberg, Gerwald-
dc.date.accessioned2022-08-05T07:37:08Z-
dc.date.available2022-08-05T07:37:08Z-
dc.date.issued2022-
dc.identifier.isbn978-989-758-578-4en_US
dc.identifier.issn2184-2841en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/13234-
dc.description.abstractLarge and highly complex systems can be found in various application areas. Modeling these systems requires appropriate representation of the underlying phenomena. Furthermore, due to the large dimensions efficient simulation and low memory requirements are needed for such models. Multilinear modeling is a promising approach to address these challenges. In this paper, we introduce a reduced canonical polyadic (CP) representation for implicit time-invariant multilinear (iMTI) models. This representation is capable of storing large models with very low memory requirements. This is particularly useful for efficient analyses of large systems with numerous inputs and states.en
dc.language.isoenen_US
dc.publisherSciTePressen_US
dc.subjectMultilinear Systemsen_US
dc.subjectTensor Decompositionen_US
dc.subject.ddc600: Techniken_US
dc.titleReduced CP representation of multilinear modelsen
dc.typeinProceedingsen_US
dc.relation.conferenceInternational Conference on Simulation and Modeling Methodologies, Technologies and Applications 2022en_US
local.contributorPerson.editorWagner, Gerd-
local.contributorPerson.editorWerner, Frank-
local.contributorPerson.editorDe Rango, Floriano-
tuhh.container.endpage259en_US
tuhh.container.startpage252en_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteFakultät Life Sciencesen_US
tuhh.publication.instituteDepartment Medizintechniken_US
tuhh.publisher.doi10.5220/0011273100003274-
tuhh.publisher.urlhttps://www.scitepress.org/Papers/2022/112731/112731.pdf-
tuhh.relation.ispartofseriesProceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2022)en_US
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.rights.cchttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.type.casraiConference Paper-
dc.type.dinicontributionToPeriodical-
dc.type.drivercontributionToPeriodical-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
item.creatorOrcidJöres, Niklas-
item.creatorOrcidKaufmann, Christoph-
item.creatorOrcidSchnelle, Leona-
item.creatorOrcidCateriano Yáñez, Carlos-
item.creatorOrcidPangalos, Georg-
item.creatorOrcidLichtenberg, Gerwald-
item.seriesrefProceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2022)-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeinProceedings-
item.languageiso639-1en-
item.creatorGNDJöres, Niklas-
item.creatorGNDKaufmann, Christoph-
item.creatorGNDSchnelle, Leona-
item.creatorGNDCateriano Yáñez, Carlos-
item.creatorGNDPangalos, Georg-
item.creatorGNDLichtenberg, Gerwald-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.tuhhseriesidProceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2022)-
item.cerifentitytypePublications-
crisitem.author.deptDepartment Medizintechnik-
crisitem.author.deptDepartment Medizintechnik-
crisitem.author.orcid0000-0001-6032-0733-
crisitem.author.parentorgFakultät Life Sciences-
crisitem.author.parentorgFakultät Life Sciences-
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