Benedikt Klein (Uni Münster): A trust region-reduced basis-machine learning approach for parameter optimization with parabolic PDE constraints

Wednesday, 10.01.2024 14:15 im Raum M5

Mathematik und Informatik

In this talk, we explore the application of machine learning techniques to address parameter optimization problems with parabolic PDE constraints. We delve into an established trust region method that integrates reduced basis methods for model order reduction, examining the potential enhancement of this approach through adding machine learning based surrogate models. While open challenges remain, these methods hold promise for providing a more efficient solution to optimization problems in this context.

Angelegt am Wednesday, 16.08.2023 16:49 von Besprechungsraum
Geändert am Monday, 08.01.2024 17:30 von Stephan Rave
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Oberseminar Numerik