A new Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs - Difference between revisions of "Haasdonk et al 2023a" - Scipedia

XI International Conference on Adaptive Modeling and Simulation (ADMOS 2023)

B. Haasdonk, H. Kleikamp, M. Ohlberger, F. Schindler, T. Wenzel

Latest revision as of 12:08, 24 May 2023

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Published on 24/05/23
Submitted on 24/05/23

Volume Adaptive Methods for Surrogate and Reduced Order Modeling, 2023
DOI: 10.23967/admos.2023.004
Licence: CC BY-NC-SA license

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Keywords

Deep neural networks • Error estimation • Kernel methods • Machine learning • Model order reduction • Parameter optimization • Proper orthogonal decomposition • Surrogate model • Uncertainty Quantification

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