On TLS formulation and core reduction for data fitting with generalized models

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dc.contributor.authorHnětynková Ivetacs
dc.contributor.authorPlešinger Martincs
dc.contributor.authorŽáková Janacs
dc.date.accessioned2020-06-08T09:42:03Z
dc.date.available16-52-2019en
dc.date.available2020-06-08T09:42:03Z
dc.date.issued2019cs
dc.date.updated22-22-2019en
dc.format.extent20cs
dc.identifier.doi10.1016/j.laa.2019.04.018
dc.identifier.issn0024-3795cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/155852
dc.language.isoengcs
dc.publisherElsevier BVcs
dc.relation.ispartofLinear Algebra and Its Applicationsen
dc.relation.ispartofseries0cs
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S0024379519301703cs
dc.riv.kontrolni-cislo192185342cs
dc.riv.specifikaceRIV/46747885:24510/19:00006481!RIV20-MSM-24510___cs
dc.subjecttotal least squares problem (TLS)cs
dc.subjecterror-in-variables modelingcs
dc.subjectorthogonal regressioncs
dc.subjectmultiple observationscs
dc.subjectcore problemcs
dc.subjecttensor approximation problemcs
dc.titleOn TLS formulation and core reduction for data fitting with generalized modelscs
local.citation.epage1-20cs
local.citation.spage1-20cs
local.identifier.publikace6481
local.identifier.wok474327200001en
local.relation.issue15 Septembercs
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