research article
On the optimal polynomial approximation of stochastic PDEs by Galerkin and Collocation methods
In this work we focus on the numerical approximation of the solution u of a linear elliptic PDE with stochastic coefficients. The problem is rewritten as a parametric PDE and the functional dependence of the solution on the parameters is approximated by multivariate polynomials. We first consider the Stochastic Galerkin method, and rely on sharp estimates for the decay of the Fourier coefficients of the spectral expansion of u on an orthogonal
Type
research article
Web of Science ID
WOS:000307022100006
Author(s)
Date Issued
2012
Publisher
Volume
22
Issue
9
Start page
1250023.1
End page
1250023.33
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
Use this identifier to reference this record