Journal
APPLIED SCIENCES-BASEL
Volume 8, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/app8122595
Keywords
rule changes; GPU computing; statistical analysis
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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.
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