Adaptive parametric sampling scheme for nonlinear model order reduction

Dynamical systems expressed as parameterized partial differential equations are ubiquitous in engineering and applied sciences. While standard model order reduction (MOR) techniques are not robust to parametric variations, the problem is exacerbated for large-scale problems with implicit parameter dependence. The matrix interpolatory MOR method has been recently extended to nonlinear systems; however, efficient sampling of the parametric space...