Deep learning methods for stochastic Galerkin approximations of elliptic random PDEs

Fabio Musco, Andrea Barth

This work considers stochastic Galerkin approximations of linear elliptic partial differential equations (PDEs) with stochastic forcing terms and stochastic diffusion coefficients,…