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多种传递熵的计算方法，包括离散和连续信号的传递熵计算，包括多种核函数(JIDT: An information-theoretic to olkit for studying the dynamics of complex systems)

BP神经网络的整个训练过程,matlab编写的元胞自动机，独立成分分析算法降低原始数据噪声。( The entire training process BP neural network, matlab prepared cellular automata, Independent component analysis algorithm reduces the raw data noise.)

伪随机序列（N=4的M序列）的C语言编程实现，可以应用于相关分析法和最小二乘辨识的输入信号。(Pseudo-random sequence (N = 4 M-sequence) of the C programming language, can be used in correlation analysis and least squares identification of the input signal.)

umat公式详细介绍，我也不知道够20字了mei(the introduction of umat in abaqus)

说明：  用C语言编写的Fluent UDF实例，包含Adjust宏，profile宏等八个实例教程，快速上手(The UDF is for computational fluid dynamics software Fluent, it concludes the Profile.c,the Adjust.c)

基于递推公式的MATLAB切比雪夫级数程序，能计算N阶多项式(Based on the recursive formula MATLAB Chebyshev series program, we can compute N order polynomials.)

UMAT in ABAQUS for Mazar s model of concrete damage

说明：  局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。(Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel regression methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity. In addition, the local linear regression to adjust to the return of the design of almost all cases does not require any boundary amendment.)

随机森林算法，适合初学者阅读，包括公式，资料，调试(Random forests algorithm, suitable for beginners to read, including formulas, data, commissioning)

基于Laguerre多项式的拟合程序，可以控制多项式的结束，以及变量alpha。(Based on Laguerre polynomial fitting procedure, you can control the end of polynomials, and variable alpha.)