SNS: A Solution-based Nonlinear Subspace method for time-dependent model order reduction

Understand

Several reduced order models have been developed for nonlinear dynamical systems.

• To achieve a considerable speed-up, a hyper-reduction step is needed to reduce the computational complexity due to nonlinear terms.
• Many hyper-reduction techniques require the construction of nonlinear term basis, which introduces a computationally expensive offline phase.
• A novel way of constructing nonlinear term basis within the hyper-reduction process is introduced.