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

机译:基于Matlab仿真的蒙特卡罗算法在理想空心投篮命中率研究中的应用。

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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.
机译:篮球投篮命中率是评估运动员运动能力的重要指标。影响篮球投篮命中率的因素很多,包括投篮位置,投篮角度,投篮率,篮筐位置,重力,空气阻力,运动员的心理素质和其他因素。本文从非技术角度研究具有理想状态的篮球投篮数学模型,利用蒙特卡洛算法在Matlab软件中实现模型的空心投篮条件,为蒙特卡洛的应用提供了一个应用平台。本研究中基于Matlab仿真的蒙特卡罗算法在理想的空心篮球投篮研究中得到了较好的应用,为研究篮球命中率提供了新的思路。

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