MAI0129 Stochastic Galerkin Methods for Partial Differential Equations
(This is a corse supported by the Swedish e-Science Education (SeSE) graduate school.)Why should I take this course?
- It provides info on why one needs uncertainty quantication (UQ) when dealing with partial differential equations (PDEs).
- Explains how to use intrusive methods and non-intrusive methods for UQ in PDEs.
- Both linear and nonlinear intial boundary value problems with random data are considered.
- Advanced topics such as: sensitivity of different PDEs, multiple stochastic dimensions and alternative basis are discussed.
Details
- Examiner: Jan Nordström, Subject area: Computational Mathematics, Number of credits: 5
Lecture schedule for 22-26th of February 2016
- 22nd of February 10.15-16.00 in Kompakta rummet, B-house, corridor A, bottom floor, entrance 23-25.
- 23nd of February 9.15-12.00 in Kompakta rummet, 13.15-16.00 in BL34 B-house, corridor A, bottom floor, entrance 23-25.
- 24th of February 9.15-12.00 in Hopningspunkten, 13.15-16.00 in Kompakta rummet, corridor A, bottom floor, entrance 23-25.
- 25th of February 9.15-12.00 in Hopningspunkten, 13.15-16.00 in Kompakta rummet, corridor A, bottom floor, entrance 23-25.
- 26th of February 9.15-12.00 in BL34, 13.15-16.00 in Kompakta rummet, corridor A, bottom floor, entrance 23-25.
News related to the course will be published here !
Page responsible: jan.nordstrom@liu.se
Last updated: 2019-11-29