Sparse p-version BEM for first kind boundary integral equations with random loading
Applied Numerical Mathematics
A finite element method for elliptic problems with stochastic input data
Applied Numerical Mathematics
Combination technique based k-th moment analysis of elliptic problems with random diffusion
Journal of Computational Physics
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We consider the numerical solution of elliptic boundary value problems in domains with random boundary perturbations. Assuming normal perturbations with small amplitude and known mean field and two-point correlation function, we derive, using a second order shape calculus, deterministic equations for the mean field and the two-point correlation function of the random solution for a model Dirichlet problem which are 3rd order accurate in the boundary perturbation size. Using a variational boundary integral equation formulation on the unperturbed, “nominal” boundary and a wavelet discretization, we present and analyze an algorithm to approximate the random solution’s mean and its two-point correlation function at essentially optimal order in essentially $${\mathcal{O}(N)}$$ work and memory, where N denotes the number of unknowns required for consistent discretization of the boundary of the nominal domain.