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Statistical Analysis of Table-Tennis Ball Trajectories

Institute for Physics, University of Greifswald, 17498 Greifswald, Germany
Institute of Computer Science, University of Rostock, 18051 Rostock, Germany
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(12), 2595;
Received: 12 November 2018 / Revised: 7 December 2018 / Accepted: 10 December 2018 / Published: 12 December 2018
(This article belongs to the Special Issue Computer Science in Sport)
In this work, the equations of motion for table-tennis balls were numerically solved on graphics processing units (GPUs) using Compute Unified Device Architecture (CUDA) for systematical statistical studies of the impact of ball size and weight, as well as of net height, on the distribution functions of successful strokes. Half a billion different initial conditions involving hitting location, initial spin, and velocities were analyzed to reach sufficient statistical significance for the different cases. In this paper, an advanced statistical analysis of the database generated by the simulation is presented. View Full-Text
Keywords: rule changes; GPU computing; statistical analysis rule changes; GPU computing; statistical analysis
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MDPI and ACS Style

Schneider, R.; Lewerentz, L.; Lüskow, K.; Marschall, M.; Kemnitz, S. Statistical Analysis of Table-Tennis Ball Trajectories. Appl. Sci. 2018, 8, 2595.

AMA Style

Schneider R, Lewerentz L, Lüskow K, Marschall M, Kemnitz S. Statistical Analysis of Table-Tennis Ball Trajectories. Applied Sciences. 2018; 8(12):2595.

Chicago/Turabian Style

Schneider, Ralf, Lars Lewerentz, Karl Lüskow, Marc Marschall, and Stefan Kemnitz. 2018. "Statistical Analysis of Table-Tennis Ball Trajectories" Applied Sciences 8, no. 12: 2595.

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