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Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。(The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined.)

有关2012全国大学生数学建模竞赛论文，可以让读者提供一些方法和思路。(For papers of the 2012 National Mathematical Contest in Modeling, allows the reader to provide some methods and ideas.)

gps geodetic convert for matlab

matlab教程，包含编程实例讲解详细，pdf格式的。(Matlab tutorial, including programming examples to explain in detail, PDF format.)

hamming code in matlab platform

该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法(This function is used to calculate the maximum Lyapunov exponent of time series- Wolf Method)

实现了对于存在多个旅行商的开环路径最优求解，就是确定路径的起点和终点(Open Multiple Traveling Salesmen Problem )

Carrame法求解矩阵方程组，并应用于1D光子晶体场的分析(Carrame Method matrix equations, and applied to the analysis of 1D photonic crystal field)

在瑞丽衰减下不同SNR产生的误码率，在加性高斯白噪声下仿真传输过程，并且和理论值对比。(BER SIMO 2BY2)

perceptron, is a code a pseudo learning machine