Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference

no code implementations • 6 Jul 2021 • Nihar Sawant, Boris Kramer, Benjamin Peherstorfer

Operator inference learns low-dimensional dynamical-system models with polynomial nonlinear terms from trajectories of high-dimensional physical systems (non-intrusive model reduction).