Sharp fractional Landau inequalities hold in rotating fractional Sobolev spaces for high-Mach compressible flows with explicit dependence on Mach number, rotation rate and anisotropy, yielding neural operator approximation rates of order N^{-ν/d_{α,Ω}}.
Nonlinear Approximation
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
unclear 1representative citing papers
Explicit function classes are constructed where compositional approximation strictly outperforms superpositional approximation with arbitrarily large gaps.
Shallow neural networks with time-frequency localized activations achieve dimension-independent Sobolev approximation rates of order N^{-1/2} for functions in weighted modulation spaces.
A new fourth-order conservative adaptive multiresolution average-interpolating wavelet upwind scheme is proposed for hyperbolic conservation laws in compressible flows, using asymmetric wavelets for upwind discretization and symmetric ones for adaptation.
citing papers explorer
No citing papers match the current filters.