Series of Lectures »Felix-Klein-Colloquium« / November 17, 2026, 17:15 – 18:30 Uhr
»Model Reduction For PDEs – Benefits, Chances, Limitations And Challenges«
Model Reduction in PDEs – Advantages, Opportunities, Limitations, and Challenges
When does a simulation need to be completed in milliseconds? Parametric PDEs – such as those used in optimization, uncertainty quantification, or on embedded systems – require real-time solutions. The Reduced Basis Method (RBM) makes this possible: During an offline phase, a compact reduced system is trained that solves problems extremely quickly online with a certified error bound.
Prof. Karsten Urban's lecture at the Ulm University provides an introduction to RBM, showcases impressive real-world acceleration results, and explains the theoretical foundations, opportunities, and limitations of the method.
Speaker:
Prof. Dr. Karsten Urban of the Ulm University