geng

是学习PCA特征提取的很好的学习资料，能量熵的计算，对于初学matlab的同学会有帮助。( Is a good learning materials to learn PCA feature extraction, Energy entropy calculation, Matlab for beginner students will help.)

说明：  进行PQ分解，计算电力系统潮流的有效方法，应用广泛(PQ decomposition is an effective method for calculating power flow in power system.)

小波包分析提取振动信号中的特征频率，大学数值分析算法，计算互信息非常有用的一组程序。( Wavelet packet analysis to extract vibration signal characteristic frequency, University of numerical analysis algorithms, Mutual information is useful to calculate a set of procedures.)

MATLAB，多目标优化，使用SQP算法(MATLAB, multi-objective optimization using SQP Algorithm)

《ABAQUS在岩土工程中的应用》-费康中二次开发的梁单元应用(" ABAQUS in geotechnical engineering" - charges the secondary development of health in the application of beam elements)

基于混沌理论进行数据预测的程序，欢欢迎需要的朋友参考下载，并提出修改意见 (, Please feel welcome the reference to a friend download data to predict the process based on chaos theory, and suggest modifications)

a very easy .c file for calculating the products of ints

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.)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

格子玻尔兹曼模型DnQm系列模型中应用较为广泛的D2Q7模型源代码，用于模拟流体的流动。(The D2Q7 model source code of the the Lattice Boltzmann the model DnQm series model is widely used to simulate fluid flow.)