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dc.contributor.authorHubbert, Simon-
dc.contributor.authorLevesley, Jeremy-
dc.identifier.citationLecture Notes in Computational Science and Engineering, 2019, 126, pp. 83-92 Numerical Mathematics and Advanced Applications ENUMATH 2017.en
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.publisherSpringer Verlag (Germany)en
dc.rightsCopyright © 2019, Springer Verlag (Germany). Deposited with reference to the publisher’s open access archiving policy. (
dc.titleConvergence of multilevel stationary Gaussian convolutionen
dc.typeConference Paperen
dc.description.presentedNumerical Mathematics and Advanced Applications ENUMATH 2017.en
dc.type.subtypeConference Proceeding-
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERINGen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Mathematicsen
Appears in Collections:Conference Papers & Presentations, Dept. of Mathematics

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