activity
20162024
most citedVariational Monte Carlo - Bridging Concepts of Machine Learning and High Dimensional Partial Differential Equations

17 citations · 33 across the 17 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

math.NA2019

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…