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Franziska Nestler
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Fast Ewald summation based on NFFT with mixed periodicity
F Nestler, M Pippig, D Potts
Journal of Computational Physics 285, 280-315, 2015
342015
Automated parameter tuning based on RMS errors for nonequispaced FFTs
F Nestler
Advances in Computational Mathematics 42, 889-919, 2016
182016
Parameter tuning for the NFFT based fast Ewald summation
F Nestler
Frontiers in Physics 4, 28, 2016
152016
An NFFT based approach to the efficient computation of dipole–dipole interactions under various periodic boundary conditions
F Nestler
Applied Numerical Mathematics 105, 25-46, 2016
92016
Learning in high-dimensional feature spaces using ANOVA-based fast matrix-vector multiplication
F Nestler, M Stoll, T Wagner
arXiv preprint arXiv:2111.10140, 2021
72021
NFFT based Ewald summation for electrostatic systems with charges and dipoles
M Hofmann, F Nestler, M Pippig
Applied Numerical Mathematics 122, 39-65, 2017
62017
Accelerating the calculation of dipolar interactions in particle based simulations with open boundary conditions by means of the P2NFFT method
R Weeber, F Nestler, F Weik, M Pippig, D Potts, C Holm
Journal of Computational Physics 391, 243-258, 2019
52019
NFFT based fast Ewald summation for various types of periodic boundary conditions
F Nestler, M Pippig, D Potts
Computational Trends in Solvation and Transport in Liquids 28, 575-598, 2015
52015
Fast Ewald summation under 2d-and 1d-periodic boundary conditions based on NFFTs
F Nestler, D Potts
Techn. Univ. Chemnitz, Fak. für Mathematik, 2013
22013
Fast Ewald summation for electrostatic systems with charges and dipoles for various types of periodic boundary conditions
F Nestler
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
12017
Fast and interpretable Support Vector Classification based on the truncated ANOVA decomposition
K Akhalaya, F Nestler, D Potts
arXiv preprint arXiv:2402.02438, 2024
2024
An NFFT based approach to the efficient computation of dipole-dipole interactions under different periodic boundary conditions
F Nestler
2015
Explainable Approximation in High Dimensions: Fourier-Based Algorithms Meet Kernel Methods
F Nestler, D Potts, M Schmischke, M Stoll, T Wagner
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Artiklar 1–13