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ORCIDRalf Hielscher
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2020 – today
- 2024
[j7]Ralf Hielscher
, Tim Pöschl:
An optimal ansatz space for moving least squares approximation on spheres. Adv. Comput. Math. 50(6): 107 (2024)- 2023
- [j6]Ralf Hielscher, Laura Lippert:
Approximating the derivative of manifold-valued functions. J. Approx. Theory 285: 105832 (2023) - [i4]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) - [i3]Ralf Hielscher, Tim Pöschl:
An Optimal Ansatz Space for Moving Least Squares Approximation on Spheres. CoRR abs/2310.15570 (2023) - 2022
- [j5]Felix Bartel, Ralf Hielscher:
Concentration inequalities for cross-validation in scattered data approximation. J. Approx. Theory 277: 105715 (2022) - [j4]Manuel Gräf, Sebastian Neumayer, Ralf Hielscher, Gabriele Steidl, Moritz Liesegang, Tilmann Beck:
An Image Registration Model in Electron Backscatter Diffraction. SIAM J. Imaging Sci. 15(1): 228-260 (2022) - 2021
- [j3]Ralf Hielscher, Laura Lippert:
Locally isometric embeddings of quotients of the rotation group modulo finite symmetries. J. Multivar. Anal. 185: 104764 (2021) - [i2]Ralf Hielscher, Laura Lippert:
Approximating the Derivative of Manifold-valued Functions. CoRR abs/2102.12562 (2021) - [i1]Felix Bartel, Ralf Hielscher:
Optimality of Cross-validation in Scattered Data Approximation. CoRR abs/2105.13790 (2021)
2010 – 2019
- 2015
- [j2]Manuel Gräf, Ralf Hielscher:
Fast Global Optimization on the Torus, the Sphere, and the Rotation Group. SIAM J. Optim. 25(1): 540-563 (2015) - 2013
- [j1]Ralf Hielscher:
Kernel density estimation on the rotation group and its application to crystallographic texture analysis. J. Multivar. Anal. 119: 119-143 (2013)
Coauthor Index
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