DC FieldValueLanguage
dc.contributor.authorĐorđević, Bogdanen
dc.contributor.authorDinčić, Nebojšaen
dc.date.accessioned2020-06-11T10:54:33Z-
dc.date.available2020-06-11T10:54:33Z-
dc.date.issued2019-01-01en
dc.identifier.issn0354-5180en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/2939-
dc.description.abstractIn this paper we solve Sylvester matrix equation with infinitely-many solutions and conduct their classification. If the conditions for their existence are not met, we provide a way for their approximation by least-squares minimal-norm method.en
dc.publisherFaculty of Sciences and Mathematics, University of Niš-
dc.relationFunctional analysis, stochastic analysis and applications-
dc.relation.ispartofFilomaten
dc.subjectEigenvalues and eigenvectors | Frobenius norm | Jordan normal form | Least-squares solution | Matrix approximations | Matrix spectrum | Minimal-norm solution | Sylvester equationen
dc.titleClassification and approximation of solutions to sylvester matrix equationen
dc.typeArticleen
dc.identifier.doi10.2298/FIL1913261Den
dc.identifier.scopus2-s2.0-85077682234en
dc.relation.firstpage4261en
dc.relation.lastpage4280en
dc.relation.issue13en
dc.relation.volume33en
dc.description.rankM22-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0002-6751-6867-
crisitem.project.funderNIH-
crisitem.project.fundingProgramNATIONAL CANCER INSTITUTE-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NIH/NATIONAL CANCER INSTITUTE/1R43CA174007-01-
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