Model Reduction

Data-driven Surrogate Modeling of Structural Dynamical Systems via Latent Space Representations
Numerical simulations provide powerful predictive capabilities to analyze the dynamic behavior of complex systems but suffer from high …
Jonas Kneifl
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Data-driven Surrogate Modeling of Structural Dynamical Systems via Latent Space Representations
Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme
Recent research in non-intrusive data-driven model order reduction (MOR) enabled accurate and efficient approximation of parameterized …
J. Kneifl, J. Hay, J. Fehr
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