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An Adaptive Stochastic Galerkin Tensor Train Discretization for Randomly Perturbed Domains
Work
Year: 2020
Type: article
Abstract: 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 random field depending on... more
Cites: 34
Cited by: 3
Related to: 10
FWCI: 0.369
Citation percentile (by year/subfield): 60.76
Open Access status: green