Nonintrusive Physics-Preserving Reduced-Order Modeling of Large-Scale Lagrangian Dynamical Systems

The core message of this work is to develop a nonintrusive data-driven method, called Lagrangian operator inference (L-OpInf), that can learn reduced-order models (ROMs) of large-scale Lagrangian dynamical systems while preserving the underlying Lagrangian structure.