Tuesday, August 23, 2022 - 11:15 in V2-210/216
Compressible fluid flows with uncertain data: Analysis and Numerics
A talk in the BI.discrete Workshop series by
Eduard Feireisl from Prague
| Abstract: |
Joint with Mária Lukácová-Medvidová, JGU Mainz (Germany)
We propose a suitable analytical framework to perform numerical analysis of problems arising in
compressible fluid models with uncertain data. We discuss both weak and strong stochastic approach, where the former is based on the knowledge of the mere distribution (law) of the random data typical for the Monte-Carlo and related methods, while the latter assumes the data to be known as a random variable
on a given probability space aiming at obtaining
the associated solution in the same form. As an example of the strong approach, we discuss the stochastic
collocation method based on a piecewise constant approximation of the random data.
Within the CRC this talk is associated to the project(s): B7 |
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