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King Abdullah University of Science and Technology
Applied Mathematics and Computational Science
AMCS
Applied Mathematics and Computational Science
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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

Applied Mathematics and Computational Science (AMCS)

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