19223901
Lecture
WiSe 22/23: Uncertainty Quantification and quasi-Monte Carlo
Claudia Schillings
Comments
High-dimensional numerical integration plays a central role in contemporary study of uncertainty quantification. The analysis of how uncertainties associated with material parameters or the ... read more
Suggested reading
The following books will be relevant:
O. P. Le Maître and O. M. Knio. Spectral Methods for Uncertainty Quantification: With Applications to Computational Fluid Dynamics. ... read more
16 Class schedule
Regular appointments
Mon, 2022-10-17 12:00 - 14:00
Mon, 2022-10-24 12:00 - 14:00
Mon, 2022-10-31 12:00 - 14:00
Mon, 2022-11-07 12:00 - 14:00
Mon, 2022-11-14 12:00 - 14:00
Mon, 2022-11-21 12:00 - 14:00
Mon, 2022-11-28 12:00 - 14:00
Mon, 2022-12-05 12:00 - 14:00
Mon, 2022-12-12 12:00 - 14:00
Mon, 2023-01-02 12:00 - 14:00
Mon, 2023-01-09 12:00 - 14:00
Mon, 2023-01-16 12:00 - 14:00
Mon, 2023-01-23 12:00 - 14:00
Mon, 2023-01-30 12:00 - 14:00
Mon, 2023-02-06 12:00 - 14:00
Mon, 2023-02-13 12:00 - 14:00
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo
Uncertainty Quantification and quasi-Monte Carlo