Monte Carlo 法不同于前面几章所介绍的确定性数值方法，它是用来解决数学和物理问题的非确定性的（概率统计的或随机的）数值方法。Monte Carlo 方法（MCM），也称为统计试验方法，是理论物理学两大主要学科的合并：即随机过程的概率统计理论（用于处理布朗运动或随机游动实验）和位势理论，主要是研究均匀介质的稳定状态[1]。它是用一系列随机数来近似解决问题的一种方法，是通过寻找一个概率统计的相似体并用实验取样过程来获得该相似体的近似解的处理数学问题的一种手段。-Monte Carlo method is different from the preceding chapters described the certainty numerical method, which is used to solve mathematical and physical problems of non-deterministic (probability and statistics or random) numerical method. Monte Carlo method (MCM), also known as statistical testing methods, theoretical physics, the merger of the two main subjects: the random process of probability and statistics theory (for dealing with Brownian motion or random walk test), and potential theory, the main is to study the stability of homogeneous media [1]. It is a series of random numbers to approximate a problem-solving method is by looking for a similar body of probability and statistics, and experimental sampling process to obtain the body similar to the approximate solution as a means of dealing with mathematical problems.