That’s a vortex (probably)!
15 April 2024
14:30
Louvain-la-Neuve
Place du Levant 2, Seminar room b.044
There are many examples in fluid dynamics in which we wish to use a limited amount of information about a flow (e.g., from sensors) to infer its larger behavior. Rather than treat this inverse problem deterministically, it is valuable to embrace its uncertainty, e.g., due to noisy sensor measurements, and work in a probabilistic setting. Even if we think we have non-noisy measurements, we can still learn a lot about the estimated flow by treating it in this setting: Is the estimate unique? What information is available (and not available) in the sensors?
Date:
Monday, avril 15, 2024
Address:
Place du Levant 2, Seminar room b.044
1348 Louvain-la-Neuve
Belgique14:30
