|
|
|
||||||||||
| Project Leader: | Prof. Dr. Ch. Schwab |
| Current Researchers: |
Claude Gittelson (Seminar for Applied Mathematics, ETH Zurich) Dr. Andrea Barth (Seminar for Applied Mathematics, ETH Zurich) Roman Andreev (Seminar for Applied Mathematics, ETH Zurich) Claude Gittelson (Seminar for Applied Mathematics, ETH Zurich) |
| Former Researchers |
Dr. Bastian Pentenrieder Dr. Marcel Bieri |
Parameters in boundary value problems are often incompletely known. Modeling them as random variables or random fields, the solution to a boundary value problem also becomes a random field. In general, it can be interpreted as a parametric element of a function space, with an infinite dimensional parameter domain. Stochastic moments of the solution can be computed directly as functions on higher dimensional domains.
Various sparse tensorization techniques exist to deal with the high dimensionality either of the parameter domain or in the moment equations. We consider multilevel Monte Carlo methods, sparse tensor collocation, and Galerkin methods using generalized polynomial chaos bases. In particular, we develop adaptive techniques for selecting active polynomial chaos modes.
Wichtiger Hinweis:
Diese Website wird in älteren Versionen von Netscape ohne
graphische Elemente dargestellt. Die Funktionalität der
Website ist aber trotzdem gewährleistet. Wenn Sie diese
Website regelmässig benutzen, empfehlen wir Ihnen, auf
Ihrem Computer einen aktuellen Browser zu installieren. Weitere
Informationen finden Sie auf
folgender
Seite.
Important Note:
The content in this site is accessible to any browser or
Internet device, however, some graphics will display correctly
only in the newer versions of Netscape. To get the most out of
our site we suggest you upgrade to a newer browser.
More
information