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ORCIDTino Ullrich
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- affiliation: Chemnitz University of Technology, Germany
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2020 – today
- 2024
[i25]David Krieg
, Kateryna Pozharska, Mario Ullrich, Tino Ullrich:
Sampling projections in the uniform norm. CoRR abs/2401.02220 (2024)- [i24]Moritz Moeller, Serhii A. Stasyuk, Tino Ullrich:
High-dimensional sparse trigonometric approximation in the uniform norm and consequences for sampling recovery. CoRR abs/2407.15965 (2024) - 2023
- [j24]Glenn Byrenheid, Serhii A. Stasyuk, Tino Ullrich:
Lp-Sampling recovery for non-compact subclasses of L∞. Frontiers Appl. Math. Stat. 9 (2023) - [j23]Thomas Jahn, Tino Ullrich, Felix Voigtländer:
Sampling numbers of smoothness classes via ℓ1-minimization. J. Complex. 79: 101786 (2023) - [j22]Felix Bartel, Lutz Kämmerer, Daniel Potts, Tino Ullrich:
On the reconstruction of functions from values at subsampled quadrature points. Math. Comput. 93(346): 785-809 (2023) - [j21]Laura Lippert, Daniel Potts, Tino Ullrich:
Fast hyperbolic wavelet regression meets ANOVA. Numerische Mathematik 154(1-2): 155-207 (2023) - [i23]Frank Filbir, Ralf Hielscher, Thomas Jahn, Tino Ullrich:
Marcinkiewicz-Zygmund inequalities for scattered and random data on the q-sphere. CoRR abs/2303.00045 (2023) - [i22]David Krieg, Kateryna Pozharska, Mario Ullrich, Tino Ullrich:
Sampling recovery in the uniform norm. CoRR abs/2305.07539 (2023) - [i21]Felix Bartel, Kai Lüttgen, Nicolas Nagel, Tino Ullrich:
Efficient recovery of non-periodic multivariate functions from few scattered samples. CoRR abs/2306.07140 (2023) - 2022
- [j20]Nicolas Nagel, Martin Schäfer, Tino Ullrich:
A New Upper Bound for Sampling Numbers. Found. Comput. Math. 22(2): 445-468 (2022) - [j19]Vladimir N. Temlyakov, Tino Ullrich:
Approximation of functions with small mixed smoothness in the uniform norm. J. Approx. Theory 277: 105718 (2022) - [j18]Kateryna Pozharska, Tino Ullrich:
A Note on Sampling Recovery of Multivariate Functions in the Uniform Norm. SIAM J. Numer. Anal. 60(3): 1363-1384 (2022) - [i20]Felix Bartel, Martin Schäfer, Tino Ullrich:
Constructive subsampling of finite frames with applications in optimal function recovery. CoRR abs/2202.12625 (2022) - [i19]Felix Bartel, Lutz Kämmerer, Daniel Potts, Tino Ullrich:
On the reconstruction of functions from values at subsampled quadrature points. CoRR abs/2208.13597 (2022) - [i18]Gustavo Garrigós, Andreas Seeger, Tino Ullrich:
Haar frame characterizations of Besov-Sobolev spaces and optimal embeddings into their dyadic counterparts. CoRR abs/2209.02630 (2022) - [i17]Glenn Byrenheid, Serhii A. Stasyuk, Tino Ullrich:
Lp-Sampling recovery for non-compact subclasses of L∞. CoRR abs/2210.01704 (2022) - [i16]Thomas Jahn, Tino Ullrich, Felix Voigtländer:
Sampling numbers of smoothness classes via 𝓁1-minimization. CoRR abs/2212.00445 (2022) - 2021
- [j17]Christopher Kacwin, Jens Oettershagen, Mario Ullrich, Tino Ullrich:
Numerical Performance of Optimized Frolov Lattices in Tensor Product Reproducing Kernel Sobolev Spaces. Found. Comput. Math. 21(3): 849-889 (2021) - [j16]Thomas Jahn, Tino Ullrich:
On the optimal constants in the two-sided Stechkin inequalities. J. Approx. Theory 269: 105607 (2021) - [j15]Thomas Kühn, Winfried Sickel, Tino Ullrich:
How anisotropic mixed smoothness affects the decay of singular numbers for Sobolev embeddings. J. Complex. 63: 101523 (2021) - [j14]Vladimir N. Temlyakov, Tino Ullrich:
Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness. J. Complex. 67: 101575 (2021) - [i15]Kateryna Pozharska, Tino Ullrich:
A note on sampling recovery of multivariate functions in the uniform norm. CoRR abs/2103.11124 (2021) - [i14]Laura Lippert, Daniel Potts, Tino Ullrich:
Fast Hyperbolic Wavelet Regression meets ANOVA. CoRR abs/2108.13197 (2021) - 2020
- [j13]Nadiia Derevianko, Tino Ullrich:
A higher order Faber spline basis for sampling discretization of functions. J. Approx. Theory 257: 105449 (2020) - [i13]Thomas Kühn, Winfried Sickel, Tino Ullrich:
How anisotropic mixed smoothness affects the decay of singular numbers of Sobolev embeddings. CoRR abs/2001.09022 (2020) - [i12]Nadiia Derevianko, Tino Ullrich:
Adaptive sampling recovery of functions with higher mixed regularity. CoRR abs/2004.03556 (2020) - [i11]Thomas Jahn, Tino Ullrich:
On the optimal constants in the two-sided Stechkin inequalities. CoRR abs/2006.07441 (2020) - [i10]Moritz Moeller, Tino Ullrich:
L2-norm sampling discretization and recovery of functions from RKHS with finite trace. CoRR abs/2009.11940 (2020) - [i9]Nicolas Nagel, Martin Schäfer, Tino Ullrich:
A new upper bound for sampling numbers. CoRR abs/2010.00327 (2020) - [i8]Vladimir N. Temlyakov, Tino Ullrich:
Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness. CoRR abs/2012.09925 (2020) - [i7]Vladimir N. Temlyakov, Tino Ullrich:
Approximation of functions with small mixed smoothness in the uniform norm. CoRR abs/2012.11983 (2020)
2010 – 2019
- 2019
- [i6]Gustavo Garrigós, Andreas Seeger, Tino Ullrich:
The Haar System in Triebel-Lizorkin Spaces: Endpoint Results. CoRR abs/1907.03738 (2019) - [i5]Lutz Kämmerer, Tino Ullrich, Toni Volkmer:
Worst case recovery guarantees for least squares approximation using random samples. CoRR abs/1911.10111 (2019) - [i4]Nadiia Derevianko, Tino Ullrich:
A higher order Faber spline basis for sampling discretization of functions. CoRR abs/1912.00391 (2019) - 2018
- [j12]Sjoerd Dirksen, Tino Ullrich:
Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. J. Complex. 48: 69-102 (2018) - [i3]Christopher Kacwin, Jens Oettershagen, Mario Ullrich, Tino Ullrich:
Numerical performance of optimized Frolov lattices in tensor product reproducing kernel Sobolev spaces. CoRR abs/1802.08666 (2018) - 2017
- [j11]Glenn Byrenheid, Lutz Kämmerer, Tino Ullrich, Toni Volkmer:
Tight error bounds for rank-1 lattice sampling in spaces of hybrid mixed smoothness. Numerische Mathematik 136(4): 993-1034 (2017) - [i2]Sjoerd Dirksen, Tino Ullrich:
Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. CoRR abs/1702.06781 (2017) - 2016
- [j10]Glenn Byrenheid, Dinh Dung, Winfried Sickel, Tino Ullrich:
Sampling on energy-norm based sparse grids for the optimal recovery of Sobolev type functions in Hγ. J. Approx. Theory 207: 207-231 (2016) - [j9]Aicke Hinrichs, Lev Markhasin, Jens Oettershagen, Tino Ullrich:
Optimal quasi-Monte Carlo rules on order 2 digital nets for the numerical integration of multivariate periodic functions. Numerische Mathematik 134(1): 163-196 (2016) - [j8]Mario Ullrich, Tino Ullrich:
The Role of Frolov's Cubature Formula for Functions with Bounded Mixed Derivative. SIAM J. Numer. Anal. 54(2): 969-993 (2016) - [j7]Thomas Kühn, Sebastian Mayer, Tino Ullrich:
Counting Via Entropy: New Preasymptotics for the Approximation Numbers of Sobolev Embeddings. SIAM J. Numer. Anal. 54(6): 3625-3647 (2016) - 2014
- [j6]Tino Ullrich:
Optimal cubature in Besov spaces with dominating mixed smoothness on the unit square. J. Complex. 30(2): 72-94 (2014) - [j5]Thomas Kühn, Winfried Sickel, Tino Ullrich:
Approximation numbers of Sobolev embeddings - Sharp constants and tractability. J. Complex. 30(2): 95-116 (2014) - 2013
- [j4]Dinh Dung, Tino Ullrich:
N-Widths and ε-Dimensions for High-Dimensional Approximations. Found. Comput. Math. 13(6): 965-1003 (2013) - 2011
- [j3]Dinh Dung, Tino Ullrich:
Whitney type inequalities for local anisotropic polynomial approximation. J. Approx. Theory 163(11): 1590-1605 (2011) - 2010
- [j2]Simon Foucart, Alain Pajor, Holger Rauhut, Tino Ullrich:
The Gelfand widths of lp-balls for 0p<=1. J. Complex. 26(6): 629-640 (2010) - [i1]Simon Foucart, Alain Pajor, Holger Rauhut, Tino Ullrich:
The Gelfand widths of ℓp-balls for 0<p≤1. CoRR abs/1002.0672 (2010)
2000 – 2009
- 2009
- [j1]Winfried Sickel, Tino Ullrich:
Tensor products of Sobolev-Besov spaces and applications to approximation from the hyperbolic cross. J. Approx. Theory 161(2): 748-786 (2009)
Coauthor Index
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