19223901
Vorlesung
Uncertainty Quantification & Inverse Problems
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.
13 Termine
Regelmäßige Termine der Lehrveranstaltung
Mo, 15.04.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 22.04.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 29.04.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 06.05.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 13.05.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 27.05.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 03.06.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 10.06.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 17.06.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 24.06.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 01.07.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 08.07.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems
Mo, 15.07.2024 10:00 - 12:00
Uncertainty Quantification & Inverse Problems