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20132026
most citedAdaptive Near-Optimal Rank Tensor Approximation for High-Dimensional Operator Equations

33 citations · 62 across the 26 of their papers we have counts for

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Showing 2016Show all

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math.NA2016★ 1 cited

Parametric PDEs: Sparse or Low-Rank Approximations?

Markus Bachmayr, Albert Cohen, Wolfgang Dahmen

We consider adaptive approximations of the parameter-to-solution map for elliptic operator equations depending on a large or infinite number of parameters, comparing approximation…

math.NA2016

Representations of Gaussian random fields and approximation of elliptic PDEs with lognormal coefficients

Markus Bachmayr, Albert Cohen, Giovanni Migliorati

Approximation of elliptic PDEs with random diffusion coefficients typically requires a representation of the diffusion field in terms of a sequence of scalar ra…