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2017 POSTECH Math Colloquium

Title
I: High-dimensionality, Uncertainty Quantification and Scientific Computing, II: Model Reduction for Stochastic Partial Differe
Speaker
Minseok Choi   (POSTECH )
Date
2017-06-02 15:50:00
Host
POSTECH
Place
Math. Bldg. 404
Abstract
part I: High-dimensionality, Uncertainty Quantification and Scientific Computing

Abstract: Uncertainty quantification (UQ) has recently gained an
increasing amount of attention in scientific computing community and
is a fundamental challenge in numerical simulations of many
physical/engineering problems. We introduce uncertainty quantification and discuss some of the recently developed UQ methods such as
generalized polynomial chaos (gPC) and how to deal with
high-dimensional problem inherent in complex problems.
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