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SUMMARY:Subspace-based dimension reduction for forward and inverse uncerta
 inty quantification - Paul Constantine (University of Colorado)
DTSTART:20180409T103000Z
DTEND:20180409T110000Z
UID:TALK103528@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Many methods in uncertainty quantification suffer from the cur
 se of dimensionality. I will discuss several approaches for identifying ex
 ploitable low-dimensional structure---e.g.\, active subspaces or likelihoo
 d-informed subspaces---that enable otherwise infeasible forward and invers
 e uncertainty quantification.<br><br>Related Links<ul><li><a target="_blan
 k" rel="nofollow">http://activesubspaces.org</a>&nbsp\;- Active subspaces<
 /li></ul><br>
LOCATION:Seminar Room 1\, Newton Institute
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