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Computer, Electrical and Mathematical Sciences and Engineering
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Bayesian optimal experimental design

Darcy flow in random porous medium

AMCS 301 Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches

Teaching

Random PDEs stochastic algorithms Monte carlo methods Quasi-Monte Carlo Hierarchical regression Multilevel Monte Carlo Stochastic collocation Multi-index Low-rank approximation hierarchical and sparse approximation Bayesian Inversion Bayesian optimal experimental design

A course on modern numerical methods for random partial differential equations

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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