Tino Ullrich

According to our database, Tino Ullrich authored at least 38 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

High-dimensional sparse trigonometric approximation in the uniform norm and consequences for sampling recovery.

Moritz Moeller, Serhii A. Stasyuk, Tino Ullrich

CoRR, 2024

Sampling projections in the uniform norm.

David Krieg, Kateryna Pozharska, Mario Ullrich, Tino Ullrich

CoRR, 2024

2023

Sampling numbers of smoothness classes via <i>ℓ</i>¹-minimization.

Thomas Jahn, Tino Ullrich, Felix Voigtländer

J. Complex., December, 2023

Fast hyperbolic wavelet regression meets ANOVA.

Laura Lippert, Daniel Potts, Tino Ullrich

Numerische Mathematik, June, 2023

On the reconstruction of functions from values at subsampled quadrature points.

Felix Bartel, Lutz Kämmerer, Daniel Potts, Tino Ullrich

Math. Comput., June, 2023

Lp-Sampling recovery for non-compact subclasses of L∞.

Glenn Byrenheid, Serhii A. Stasyuk, Tino Ullrich

Frontiers Appl. Math. Stat., 2023

Efficient recovery of non-periodic multivariate functions from few scattered samples.

Felix Bartel, Kai Lüttgen, Nicolas Nagel, Tino Ullrich

CoRR, 2023

Sampling recovery in the uniform norm.

David Krieg, Kateryna Pozharska, Mario Ullrich, Tino Ullrich

CoRR, 2023

Marcinkiewicz-Zygmund inequalities for scattered and random data on the q-sphere.

Frank Filbir, Ralf Hielscher, Thomas Jahn, Tino Ullrich

CoRR, 2023

2022

A Note on Sampling Recovery of Multivariate Functions in the Uniform Norm.

Kateryna Pozharska, Tino Ullrich

SIAM J. Numer. Anal., 2022

Approximation of functions with small mixed smoothness in the uniform norm.

Vladimir N. Temlyakov, Tino Ullrich

J. Approx. Theory, 2022

A New Upper Bound for Sampling Numbers.

Nicolas Nagel, Martin Schäfer, Tino Ullrich

Found. Comput. Math., 2022

Sampling numbers of smoothness classes via 𝓁¹-minimization.

Thomas Jahn, Tino Ullrich, Felix Voigtländer

CoRR, 2022

L_p-Sampling recovery for non-compact subclasses of L_∞.

Glenn Byrenheid, Serhii A. Stasyuk, Tino Ullrich

CoRR, 2022

Haar frame characterizations of Besov-Sobolev spaces and optimal embeddings into their dyadic counterparts.

Gustavo Garrigós, Andreas Seeger, Tino Ullrich

CoRR, 2022

Constructive subsampling of finite frames with applications in optimal function recovery.

Felix Bartel, Martin Schäfer, Tino Ullrich

CoRR, 2022

2021

Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness.

Vladimir N. Temlyakov, Tino Ullrich

J. Complex., 2021

How anisotropic mixed smoothness affects the decay of singular numbers for Sobolev embeddings.

Thomas Kühn, Winfried Sickel, Tino Ullrich

J. Complex., 2021

On the optimal constants in the two-sided Stechkin inequalities.

Thomas Jahn, Tino Ullrich

J. Approx. Theory, 2021

Numerical Performance of Optimized Frolov Lattices in Tensor Product Reproducing Kernel Sobolev Spaces.

Christopher Kacwin, Jens Oettershagen, Mario Ullrich, Tino Ullrich

Found. Comput. Math., 2021

2020

A higher order Faber spline basis for sampling discretization of functions.

Nadiia Derevianko, Tino Ullrich

J. Approx. Theory, 2020

L₂-norm sampling discretization and recovery of functions from RKHS with finite trace.

Moritz Moeller, Tino Ullrich

CoRR, 2020

Adaptive sampling recovery of functions with higher mixed regularity.

Nadiia Derevianko, Tino Ullrich

CoRR, 2020

2019

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

Lutz Kämmerer, Tino Ullrich, Toni Volkmer

CoRR, 2019

The Haar System in Triebel-Lizorkin Spaces: Endpoint Results.

Gustavo Garrigós, Andreas Seeger, Tino Ullrich

CoRR, 2019

2018

Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness.

Sjoerd Dirksen, Tino Ullrich

J. Complex., 2018

2017

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

Glenn Byrenheid, Lutz Kämmerer, Tino Ullrich, Toni Volkmer

Numerische Mathematik, 2017

2016

The Role of Frolov's Cubature Formula for Functions with Bounded Mixed Derivative.

Mario Ullrich, Tino Ullrich

SIAM J. Numer. Anal., 2016

Counting Via Entropy: New Preasymptotics for the Approximation Numbers of Sobolev Embeddings.

Thomas Kühn, Sebastian Mayer, Tino Ullrich

SIAM J. Numer. Anal., 2016

Optimal quasi-Monte Carlo rules on order 2 digital nets for the numerical integration of multivariate periodic functions.

Aicke Hinrichs, Lev Markhasin, Jens Oettershagen, Tino Ullrich

Numerische Mathematik, 2016

Sampling on energy-norm based sparse grids for the optimal recovery of Sobolev type functions in H^γ.

Glenn Byrenheid, Dinh Dung, Winfried Sickel, Tino Ullrich

J. Approx. Theory, 2016

2014

Optimal cubature in Besov spaces with dominating mixed smoothness on the unit square.

Tino Ullrich

J. Complex., 2014

Approximation numbers of Sobolev embeddings - Sharp constants and tractability.

Thomas Kühn, Winfried Sickel, Tino Ullrich

J. Complex., 2014

2013

N-Widths and ε-Dimensions for High-Dimensional Approximations.

Dinh Dung, Tino Ullrich

Found. Comput. Math., 2013

2011

Whitney type inequalities for local anisotropic polynomial approximation.

Dinh Dung, Tino Ullrich

J. Approx. Theory, 2011

2010

The Gelfand widths of <i>l</i>_p-balls for 0p<=1.

Simon Foucart, Alain Pajor, Holger Rauhut, Tino Ullrich

J. Complex., 2010

The Gelfand widths of ℓ_p-balls for 0<p≤1

Simon Foucart, Alain Pajor, Holger Rauhut, Tino Ullrich

CoRR, 2010

2009

Tensor products of Sobolev-Besov spaces and applications to approximation from the hyperbolic cross.

Winfried Sickel, Tino Ullrich

J. Approx. Theory, 2009