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20142021
most citedReduced Basis Methods Based Upon Adaptive Snapshot Computations

11 citations · 44 across the 12 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.NA2020

Ranks of Tensor Networks for Eigenspace Projections and the Curse of Dimensionality

Mazen Ali

The hierarchical (multi-linear) rank of an order- tensor is key in determining the cost of representing a tensor as a (tree) Tensor Network (TN). In general, it is known that, f…

math.NA2020

-Stability of the -Projection onto Finite Element Spaces on Adaptively Refined Quadrilateral Meshes

Mazen Ali, Stefan A. Funken, Anja Schmidt

The -orthogonal projection onto a finite element (FE) space is called -stable iff $\|\nablaΠ_h u\|_{L^2(Ω)}\leq C\|u\|_…

math.FA2020★ 8 cited

Approximation of Smoothness Classes by Deep Rectifier Networks

Mazen Ali, Anthony Nouy

We consider approximation rates of sparsely connected deep rectified linear unit (ReLU) and rectified power unit (RePU) neural networks for functions in Besov spaces …

math.FA2020★ 8 cited

Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions -- Part II

Mazen Ali, Anthony Nouy

We study the approximation by tensor networks (TNs) of functions from classical smoothness classes. The considered approximation tool combines a tensorization of functions in $L^p(…

math.FA2020★ 8 cited

Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions -- Part I

Mazen Ali, Anthony Nouy

We study the approximation of functions by tensor networks (TNs). We show that Lebesgue -spaces in one dimension can be identified with tensor product spaces of arbitrary orde…