[BUKU][B] Hyperbolic cross approximation

D Dũng, V Temlyakov, T Ullrich - 2018 - books.google.com
This book provides a systematic survey of classical and recent results on hyperbolic cross
approximation. Motivated by numerous applications, the last two decades have seen great …

[BUKU][B] Numerical fourier analysis

G Plonka, D Potts, G Steidl, M Tasche - 2018 - Springer
The Applied and Numerical Harmonic Analysis (ANHA) book series aims to provide the
engineering, mathematical, and scientific communities with significant developments in …

[BUKU][B] Lattice rules

J Dick, P Kritzer, F Pillichshammer - 2022 - Springer
Lattice rules are particular instances of quasi-Monte Carlo rules for numerical integration of
functions over the 𝑑-dimensional unit cube [0, 1] 𝑑, where the emphasis lies on high …

Worst-case recovery guarantees for least squares approximation using random samples

L Kämmerer, T Ullrich, T Volkmer - Constructive Approximation, 2021 - Springer
We construct a least squares approximation method for the recovery of complex-valued
functions from a reproducing kernel Hilbert space on D⊂ R d. The nodes are drawn at …

Hyperbolic cross approximation

V Temlyakov, T Ullrich - 2016 - Springer
This book is a survey on multivariate approximation. The 20th century was a period of
transition from univariate problems to multivariate problems in a number of areas of …

Approximation of high-dimensional periodic functions with Fourier-based methods

D Potts, M Schmischke - SIAM Journal on Numerical Analysis, 2021 - SIAM
We propose an approximation method for high-dimensional 1-periodic functions based on
the multivariate ANOVA decomposition. We provide analysis of classical ANOVA …

[HTML][HTML] On computing high-dimensional Riemann theta functions

S Chimmalgi, S Wahls - … in Nonlinear Science and Numerical Simulation, 2023 - Elsevier
Riemann theta functions play a crucial role in the field of nonlinear Fourier analysis, where
they are used to realize inverse nonlinear Fourier transforms for periodic signals. The …

Tight error bounds for rank-1 lattice sampling in spaces of hybrid mixed smoothness

G Byrenheid, L Kämmerer, T Ullrich, T Volkmer - Numerische Mathematik, 2017 - Springer
We consider the approximate recovery of multivariate periodic functions from a discrete set
of function values taken on a rank-1 lattice. Moreover, the main result is the fact that any (non …

[HTML][HTML] Constructing spatial discretizations for sparse multivariate trigonometric polynomials that allow for a fast discrete Fourier transform

L Kämmerer - Applied and Computational Harmonic Analysis, 2019 - Elsevier
The paper discusses the construction of high dimensional spatial discretizations for arbitrary
multivariate trigonometric polynomials, where the frequency support of the trigonometric …

[HTML][HTML] Approximation of multivariate periodic functions based on sampling along multiple rank-1 lattices

L Kämmerer, T Volkmer - Journal of Approximation Theory, 2019 - Elsevier
In this work, we consider the approximate reconstruction of high-dimensional periodic
functions based on sampling values. As sampling schemes, we utilize so-called …