An adjoint method for training data-driven reduced-order models

Donglin Liu, Francisco García Atienza, Mengwu Guo

Reduced-order modeling lies at the interface of numerical analysis and data-driven scientific computing, providing principled ways to compress high-fidelity simulations in science…