Active Subspace Techniques, Bayesian Inference and Uncertainty Propagation for Nuclear Neutronics and Chemistry Models.

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dc.contributor.advisorRalph Smith, Chair
dc.contributor.advisorStephen Campbell, Member
dc.contributor.advisorPierre Gremaud, Member
dc.contributor.advisorBrian Reich, Member
dc.contributor.authorColeman, Kayla Danielle
dc.date.accepted2019-07-30
dc.date.accessioned2019-10-22T12:30:56Z
dc.date.available2019-10-22T12:30:56Z
dc.date.defense2019-07-25
dc.date.issued2019-07-25
dc.date.released2019-10-22
dc.date.reviewed2019-07-30
dc.date.submitted2019-07-29
dc.degree.disciplineApplied Mathematics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg18181
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/36990
dc.rights
dc.titleActive Subspace Techniques, Bayesian Inference and Uncertainty Propagation for Nuclear Neutronics and Chemistry Models.

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