An adaptive stochastic Galerkin tensor train discretization for randomly perturbed domains

Martin Eigel, Manuel Marschall, Michael Multerer

A linear PDE problem for randomly perturbed domains is considered in an adaptive Galerkin framework. The perturbation of the domain's boundary is described by a vector valued rando…