17 citations · 33 across the 17 of their papers we have counts for
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math.NA2023★ 1 cited
Weighted sparsity and sparse tensor networks for least squares approximation
Philipp Trunschke, Anthony Nouy, Martin Eigel
Approximation of high-dimensional functions is a problem in many scientific fields that is only feasible if advantageous structural properties, such as sparsity in a given basis, c…
math.NA2023★ 1 cited
On the convergence of adaptive Galerkin FEM for parametric PDEs with lognormal coefficients
Martin Eigel, Nando Hegemann
Numerically solving high-dimensional random parametric PDEs poses a challenging computational problem. It is well-known that numerical methods can greatly benefit from adaptive ref…