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Analysis of tensor approximation schemes for continuous functions

dc.contributor.authorMichael Griebel
dc.contributor.authorHelmut Harbrecht
dc.date.accessioned2024-08-08T12:49:06Z
dc.date.available2024-08-08T12:49:06Z
dc.date.issued03.2019
dc.identifier.urihttps://hdl.handle.net/20.500.11811/11804
dc.description.abstractIn this article, we analyze tensor approximation schemes for continuous functions. We assume that the function to be approximated lies in an isotropic Sobolev space and discuss the cost when approximating this function in the continuous analogue of the Tucker tensor format or of the tensor train format. We especially show that the cost of both approximations are dimension-robust when the Sobolev space under consideration provides appropriate dimension weights.en
dc.format.extent24
dc.language.isoeng
dc.relation.ispartofseriesINS Preprints ; 1903
dc.rightsIn Copyright
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectTensor format
dc.subjectApproximation error
dc.subjectRank complexity
dc.subjectSobolev space with dimension weights
dc.subject.ddc510 Mathematik
dc.subject.ddc518 Numerische Analysis
dc.titleAnalysis of tensor approximation schemes for continuous functions
dc.typePreprint
dc.publisher.nameInstitut für Numerische Simulation (INS)
dc.publisher.locationBonn
dc.rights.accessRightsopenAccess
dc.relation.doihttps://doi.org/10.1007/s10208-021-09544-6
ulbbn.pubtypeZweitveröffentlichung
dcterms.bibliographicCitation.urlhttps://ins.uni-bonn.de/publication/preprints


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