这里展示的Matlab代码是一组蒙特卡罗估计方法的例子，这是一类依靠重复随机抽样或模拟随机变量来获得数值结果的计算算法。

给出了八个例子:
MonteCarloCoin.m– estimation of the probability to obtain 8 or more heads, if a coin is tossed 10 times;
MonteCarloDice.m– estimation of the probability to obtain 6 & 6, if two dice are flipped;
MonteCarloInt.m– estimation of the integral of abs(sin(x)), for x = 0 .. 2*pi;
MonteCarloPi.m– estimation of the Pi value;
MonteCarloPower.m– estimation of the worst-case resistor's power dissipation;
MonteCarloSqrt2.m– estimation of the sqrt(2) value;
MonteCarloVol.m– estimation of the unit sphere volume;
MonteCarloVol_visualization.m– a visualization of the MonteCarloVol.m example.

这些规范基于以下理论:

[1] i Sobol。蒙特卡罗方法的入门。博卡拉顿，CRC出版社，1994年。