G. Rozza

A Nonlinear Physics-based Reduced Order Model with Convolutional-based Operator Compression

Reduced-order models (ROMs) are widely used to accelerate the solution of parametrized partial differential equations, with projection-based methods relying on a linear representation of the governing equations in a low-dimensional space. Their efficiency, however, is fundamentally limited by the Kolmogorov N-width of...