Analysis of the stability and accuracy of the discrete least-squares approximation on multivariate polynomial spaces

Handle URI:
http://hdl.handle.net/10754/624840
Title:
Analysis of the stability and accuracy of the discrete least-squares approximation on multivariate polynomial spaces
Authors:
Migliorati, Giovanni
Abstract:
We review the main results achieved in the analysis of the stability and accuracy of the discrete leastsquares approximation on multivariate polynomial spaces, with noiseless evaluations at random points, noiseless evaluations at low-discrepancy point sets, and noisy evaluations at random points.
Conference/Event name:
Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)
Issue Date:
5-Jan-2016
Type:
Presentation
Additional Links:
http://mediasite.kaust.edu.sa/Mediasite/Play/9a152b47ee684cf0afb552c5b181484a1d?catalog=ca65101c-a4eb-4057-9444-45f799bd9c52
Appears in Collections:
Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)

Full metadata record

DC FieldValue Language
dc.contributor.authorMigliorati, Giovannien
dc.date.accessioned2017-06-08T06:32:29Z-
dc.date.available2017-06-08T06:32:29Z-
dc.date.issued2016-01-05-
dc.identifier.urihttp://hdl.handle.net/10754/624840-
dc.description.abstractWe review the main results achieved in the analysis of the stability and accuracy of the discrete leastsquares approximation on multivariate polynomial spaces, with noiseless evaluations at random points, noiseless evaluations at low-discrepancy point sets, and noisy evaluations at random points.en
dc.relation.urlhttp://mediasite.kaust.edu.sa/Mediasite/Play/9a152b47ee684cf0afb552c5b181484a1d?catalog=ca65101c-a4eb-4057-9444-45f799bd9c52en
dc.titleAnalysis of the stability and accuracy of the discrete least-squares approximation on multivariate polynomial spacesen
dc.typePresentationen
dc.conference.dateJanuary 5-10, 2016en
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)en
dc.conference.locationKAUSTen
dc.contributor.institutionUniversité Pierre et Marie Curieen
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