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Nr.	Titel	Autor	Jahr
1	Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication	Nestler, Franziska et al.	2022
2	Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication	Nestler, Franziska et al.	2021
3	Accelerating the calculation of dipolar interactions in particle based simulations with open boundary conditions by means of the P2NFFT method	Potts, Daniel et al.	2019
4	Accelerating the calculation of dipolar interactions in particle based simulations with open boundary conditions by means of the P2NFFT method	Potts, Daniel et al.	2018
5	Efficient Computation of Electrostatic Interactions in Particle Systems Based on Nonequispaced Fast Fourier Transforms	Nestler, Franziska	2018
6	Fast Ewald summation for electrostatic systems with charges and dipoles for various types of periodic boundary conditions	Nestler, Franziska	2017
7	NFFT based Ewald summation for electrostatic systems with charges and dipoles	Hofmann, Michael et al.	2017
8	An NFFT based approach to the efficient computation of dipole-dipole interactions under various periodic boundary conditions	Nestler, Franziska	2016
9	Automated parameter tuning based on RMS errors for nonequispaced FFTs	Nestler, Franziska	2016
10	Parameter Tuning for the NFFT Based Fast Ewald Summation	Nestler, Franziska	2016
11	An NFFT based approach to the efficient computation of dipole-dipole interactions under different periodic boundary conditions	Nestler, Franziska	2015
12	Fast Ewald Summation based on NFFT with Mixed Periodicity	Nestler, Franziska et al.	2015
13	NFFT based fast Ewald summation for various types of periodic boundary conditions	Nestler, Franziska et al.	2015
14	Parameter tuning for the NFFT based fast Ewald summation	Nestler, Franziska	2015
15	Fast Ewald Summation based on NFFT with Mixed Periodicity	Potts, Daniel et al.	2013
16	Fast Ewald summation under 2d- and 1d-periodic boundary conditions based on NFFTs	Nestler, Franziska et al.	2013

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Anzahl der Ergebnisseiten:	1
Anzahl der Dokumente:	16