19223901
Vorlesung
Uncertainty Quantification and Quasi-Monte Carlo
Claudia Schillings
Literaturhinweise
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. Scientific Computation. Springer, New York, 2010.
- R. C. Smith. Uncertainty Quantification: Theory, Implementation, and Applications, volume 12 of Computational Science & Engineering. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2014.
- T. J. Sullivan. Introduction to Uncertainty Quantification. Springer, New York, in press.
- D. Xiu. Numerical Methods for Stochastic Computations: A Spectral Method Approach. Princeton University Press, Princeton, NJ, 2010.
14 Termine
Regelmäßige Termine der Lehrveranstaltung
Mo, 14.04.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 21.04.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 28.04.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 05.05.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 12.05.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 19.05.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 26.05.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 02.06.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 09.06.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 16.06.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 23.06.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 30.06.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 07.07.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo
Mo, 14.07.2025 10:00 - 12:00
Uncertainty Quantification and Quasi-Monte Carlo