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dc.contributor.authorMigliorati, Giovanni
dc.contributor.authorNobile, Fabio
dc.contributor.authorTempone, Raul
dc.date.accessioned2017-06-01T10:20:43Z
dc.date.available2017-06-01T10:20:43Z
dc.date.issued2014-01-06
dc.identifier.urihttp://hdl.handle.net/10754/623997
dc.subjectSampling
dc.titleMultivariate polynomial approximation by means of random discrete least squares
dc.typePoster
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)
dc.conference.dateJanuary 6-10, 2014
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)
dc.conference.locationKAUST
dc.contributor.institutionÉcole Polytechnique Fédérale de Lausanne
dc.contributor.institutionPolitecnico di Milano
kaust.personTempone, Raul
refterms.dateFOA2018-06-14T04:28:50Z


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