Sparse Quadrature as an Alternative to Monte Carlo for Stochastic Finite Element Techniques

Abstract

We consider the solution of nonlinear stochastic partial differential equations by a Galerkin‐method and by projection in the stochastic dimension and compute the occurring high‐dimensional integrals by sparse (Smolyak)‐ and Monte Carlo‐integration.