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DTSTART:19700329T010000
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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Subspace-based dimension reduction for forward and
inverse uncertainty quantification - Paul Constan
tine (University of Colorado)
DTSTART;TZID=Europe/London:20180409T113000
DTEND;TZID=Europe/London:20180409T120000
UID:TALK103528AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/103528
DESCRIPTION:Many methods in uncertainty quantification suffer
from the curse of dimensionality. I will discuss s
everal approaches for identifying exploitable low-
dimensional structure---e.g.\, active subspaces or
likelihood-informed subspaces---that enable other
wise infeasible forward and inverse uncertainty qu
antification.
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