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Scalable Environment for Quantification of Uncertainty and Optimization in Industrial Applications (SEQUOIA)
dc.contributor.authorAlonso, Juan J.
dc.contributor.authorEldred, Michael S.
dc.contributor.authorConstantine, Paul
dc.contributor.authorDuraisamy, Karthikeyan
dc.contributor.authorFarhat, Charbel
dc.contributor.authorIaccarino, Gianluca
dc.contributor.authorJakeman, John
dc.date.accessioned2018-04-11T19:02:46Z
dc.date.available2018-04-11T19:02:46Z
dc.date.issued2017
dc.identifier.citationAlonso, Juan J.; Eldred, Michael S.; Constantine, Paul; Duraisamy, Karthikeyan; Farhat, Charbel; Iaccarino, Gianluca; Jakeman, John (2017). "Scalable Environment for Quantification of Uncertainty and Optimization in Industrial Applications (SEQUOIA)." 19th AIAA Non-Deterministic Approaches Conference
dc.identifier.urihttps://hdl.handle.net/2027.42/143027
dc.publisherAmerican Institute of Aeronautics and Astronautics
dc.relation.ispartofseriesAIAA SciTech Forum
dc.titleScalable Environment for Quantification of Uncertainty and Optimization in Industrial Applications (SEQUOIA)
dc.typeConference Paperen_US
dc.subject.hlbsecondlevelAerospace Engineering
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/143027/1/6.2017-1327.pdf
dc.identifier.doi10.2514/6.2017-1327
dc.identifier.source19th AIAA Non-Deterministic Approaches Conference
dc.owningcollnameAerospace Engineering, Department of


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