A non-intrusive approach for PC analysis of SDEs driven by Wiener noise

Handle URI:
http://hdl.handle.net/10754/624806
Title:
A non-intrusive approach for PC analysis of SDEs driven by Wiener noise
Authors:
Navarro, María; Le Maitre, Olivier P.; Knio, Omar
KAUST Department:
Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)
Conference/Event name:
Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)
Issue Date:
6-Jan-2016
Type:
Poster
Appears in Collections:
Posters; Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)

Full metadata record

DC FieldValue Language
dc.contributor.authorNavarro, Maríaen
dc.contributor.authorLe Maitre, Olivier P.en
dc.contributor.authorKnio, Omaren
dc.date.accessioned2017-06-08T06:32:27Z-
dc.date.available2017-06-08T06:32:27Z-
dc.date.issued2016-01-06-
dc.identifier.urihttp://hdl.handle.net/10754/624806-
dc.subjectSDEen
dc.titleA non-intrusive approach for PC analysis of SDEs driven by Wiener noiseen
dc.typePosteren
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)en
dc.conference.dateJanuary 5-10, 2016en
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)en
dc.conference.locationKAUSTen
dc.contributor.institutionDuke Universityen
dc.contributor.institutionLaboratoire d'informatique pour la mécanique et les sciences de l'ingénieuren
kaust.authorNavarro, Maríaen
kaust.authorLe Maitre, Olivier P.en
kaust.authorKnio, Omaren
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