Weighted reduced basis methods for parabolic PDEs with random input data
This work focuses on model order reduction for parabolic partial differential equations with parametrized random input data. The input data enter the model via model coefficients, external sources or boundary conditions, for instance. The outcome of the model problem is not only the solution, but al...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | en |
| Published: |
2018
|
| Online Access: | https://tuprints.ulb.tu-darmstadt.de/7670/1/Dissertation_Spannring_Aug_2018.pdf Spannring, Christopher <http://tuprints.ulb.tu-darmstadt.de/view/person/Spannring=3AChristopher=3A=3A.html> (2018): Weighted reduced basis methods for parabolic PDEs with random input data.Darmstadt, Technische Universität, [Ph.D. Thesis] |
Internet
https://tuprints.ulb.tu-darmstadt.de/7670/1/Dissertation_Spannring_Aug_2018.pdfSpannring, Christopher <http://tuprints.ulb.tu-darmstadt.de/view/person/Spannring=3AChristopher=3A=3A.html> (2018): Weighted reduced basis methods for parabolic PDEs with random input data.Darmstadt, Technische Universität, [Ph.D. Thesis]