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Uncertainty Quantification

dc.date.accessioned2020-03-30T13:35:51Z
dc.date.available2020-03-30T13:35:51Z
dc.date.issued2019
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3728
dc.description.abstractUncertainty quantification (UQ) is concerned with including and characterising uncertainties in mathematical models. Major steps comprise proper description of system uncertainties, analysis and efficient quantification of uncertainties in predictions and design problems, and statistical inference on uncertain parameters starting from available measurements. Research in UQ addresses fundamental mathematical and statistical challenges, but has also wide applicability in areas such as engineering, environmental, physical and biological applications. This workshop focussed on mathematical challenges at the interface of applied mathematics, probability and statistics, numerical analysis, scientific computing and application domains. The workshop served to bring together experts from those disciplines in order to enhance their interaction, to exchange ideas and to develop new, powerful methods for UQ.
dc.titleUncertainty Quantification
dc.rights.licenseDieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.de
dc.rights.licenseThis document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.en
dc.identifier.doi10.14760/OWR-2019-12
local.series.idOWR-2019-12
local.subject.msc65
local.subject.msc62
local.subject.msc28
local.subject.msc35
local.subject.msc37
local.subject.msc91
local.subject.msc49
local.subject.msc46
local.subject.msc47
local.subject.msc60
local.date-range10 Mar - 16 Mar 2019
local.workshopcode1911
local.workshoptitleUncertainty Quantification
local.organizersOliver Ernst, Chemnitz; Fabio Nobile, Lausanne; Claudia Schillings, Mannheim; Tim Sullivan, Berlin
local.report-nameWorkshop Report 2019,12
local.opc-photo-id1911
local.publishers-doi10.4171/OWR/2019/12
local.ems-referenceErnst Oliver, Nobile Fabio, Schillings Claudia, Sullivan Tim: Uncertainty Quantification. Oberwolfach Rep. 16 (2019), 695-772. doi: 10.4171/OWR/2019/12


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