Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/44369
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHubbert, Simon-
dc.contributor.authorLevesley, Jeremy-
dc.date.accessioned2019-06-12T09:32:27Z-
dc.date.issued2019-01-05-
dc.identifier.citationLecture Notes in Computational Science and Engineering, 2019, 126, pp. 83-92 Numerical Mathematics and Advanced Applications ENUMATH 2017.en
dc.identifier.issn1439-7358-
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-319-96415-7_5en
dc.identifier.urihttp://hdl.handle.net/2381/44369-
dc.descriptionThe file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.en
dc.description.abstractIn this paper we give a short note showing convergence rates for periodic approximation of smooth functions by multilevel Gaussian convolution. We will use the Gaussian scaling in the convolution at the finest level as a proxy for degrees of freedom d in the model. We will show that, for functions in the native space of the Gaussian, convergence is of the order (Formula Presented.). This paper provides a baseline for what should be expected in discrete convolution, which will be the subject of a follow up paper.en
dc.language.isoenen
dc.publisherSpringer Verlag (Germany)en
dc.rightsCopyright © 2019, Springer Verlag (Germany). Deposited with reference to the publisher’s open access archiving policy. (http://www.rioxx.net/licenses/all-rights-reserved)en
dc.titleConvergence of multilevel stationary Gaussian convolutionen
dc.typeConference Paperen
dc.identifier.doi10.1007/978-3-319-96415-7_5-
dc.description.statusPeer-revieweden
dc.description.versionPost-printen
dc.description.presentedNumerical Mathematics and Advanced Applications ENUMATH 2017.en
dc.type.subtypeConference Proceeding-
pubs.organisational-group/Organisationen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERINGen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Mathematicsen
dc.identifier.eisbn978-3-319-96415-7-
dc.rights.embargodate2020-01-05-
Appears in Collections:Conference Papers & Presentations, Dept. of Mathematics

Files in This Item:
File Description SizeFormat 
1609.02457v2.pdfPost-review (final submitted author manuscript)232.24 kBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.