Nonlinear dimension reduction for surrogate modeling using gradient information

Daniele Bigoni, Youssef Marzouk, Clémentine Prieur +1

We introduce a method for the nonlinear dimension reduction of a high-dimensional function $u:{\mathbb{R}}^d\to \mathbb{R}$, $d\gg 1$. Our objective is to identify a nonlinear…