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Information Technology Journal
Year: 2013  |  Volume: 12  |  Issue: 15  |  Page No.: 3315 - 3319

Applications of Monte Carlo Algorithm in Research on the Basketball Hit Rate of Ideal Hollow Shooting Based on Matlab Simulation

Dingyu Tang, Gang Ma and Jun Guo    

Abstract: The hit rate of basketball shooting is an important indicator to evaluate the athlete's athletic ability. There are many factors affecting hit rate of basketball shooting including the shot location, shot angle, shot rate, the hoop position, gravity, air resistance, athlete's psychological quality and other factors. This article studies a basketball shooting mathematical model with an ideal state from a non-technical point of view, uses Monte Carlo algorithm to implement hollow shooting conditions of the model in Matlab software and provides an application platform for the application of Monte Carlo. In this study, Monte Carlo Algorithm based on Matlab Simulation get a better application in an ideal study of hollow basketball shooting providing a new way of thinking for the study of basketball hit rate.

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