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ORCIDFelix Bartel
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2020 – today
- 2024
[i8]Felix Bartel, Dinh Dung:
Sampling recovery in Bochner spaces and applications to parametric PDEs with random inputs. CoRR abs/2409.05050 (2024)- 2023
- [j3]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) - [i7]Felix Bartel, Fabian Taubert:
Nonlinear Approximation with Subsampled Rank-1 Lattices. CoRR abs/2303.17541 (2023) - [i6]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
- [j2]Felix Bartel, Ralf Hielscher:
Concentration inequalities for cross-validation in scattered data approximation. J. Approx. Theory 277: 105715 (2022) - [j1]Felix Bartel, Daniel Potts, Michael Schmischke:
Grouped Transformations and Regularization in High-Dimensional Explainable ANOVA Approximation. SIAM J. Sci. Comput. 44(1): 1606- (2022) - [i5]Felix Bartel, Martin Schäfer, Tino Ullrich:
Constructive subsampling of finite frames with applications in optimal function recovery. CoRR abs/2202.12625 (2022) - [i4]Felix Bartel:
Stability and error guarantees for least squares approximation with noisy samples. CoRR abs/2204.04436 (2022) - [i3]Felix Bartel, Lutz Kämmerer, Daniel Potts, Tino Ullrich:
On the reconstruction of functions from values at subsampled quadrature points. CoRR abs/2208.13597 (2022) - 2021
- [i2]Felix Bartel, Ralf Hielscher:
Optimality of Cross-validation in Scattered Data Approximation. CoRR abs/2105.13790 (2021) - 2020
- [i1]Felix Bartel, Daniel Potts, Michael Schmischke:
Grouped Transformations in High-Dimensional Explainable ANOVA Approximation. CoRR abs/2010.10199 (2020)
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