Course

MATH-616: Numerical methods for random PDEs and uncertainty

Summary

The course focuses on mathematical models based on PDEs with random parameters, and presents numerical techniques for forward uncertainty propagation, inverse uncertainty analysis in a Bayesian framework and optimal control under uncertainty.

Lectures

Instructor

Tommaso Vanzan

Official source

https://edu.epfl.ch/coursebook/en/numerical-methods-for-random-pdes-and-uncertainty-MATH-616

Moodle Page

http://go.epfl.ch/MATH-616

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Summary

Lectures

Instructor

Tommaso Vanzan

Official source

https://edu.epfl.ch/coursebook/en/numerical-methods-for-random-pdes-and-uncertainty-MATH-616

Moodle Page

http://go.epfl.ch/MATH-616

About this result

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