KFFT

Matlab codes for Robust PCA multivariate control chart(Robust PCA multivariate control chart mainly consists two steps: Step1 Calculates the robust mean and the robust covariance of original dataset using the minimum covariance determinant (MCD). In MCD technique, finding a subset containing half of the data such that its covariance matrix has the lowest determinant, then using this subset to calculate the robust mean and the robust covariance matrix (Hubert, Rousseeuw, & Branden, 2005) Step2 Standardize data using robust mean and robust standard deviation from Step1. Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and A is p*p matrix of eigenvectors (also called principalcomponents))

branchbound就是所谓的分支定界算法，应用于动态规划解决实际问题(branchbound is called the branch and bound algorithm applied to the dynamic programming to solve practical problems)

计算动力学研究，应力波引起的裂纹扩展问题，供大家学习(Kinetics calculations, crack propagation problems caused by stress wave for everyone to learn)

自己编写的振动响应计算的matlab程序，可以运行，结果正确。(dynamic response of the system using matlab。)

Algorithm gauss seidel load flow

这是数值分析中拟上三角法的实现程序,c语言(This is the numerical analysis to be on the triangulation procedures, language c)

说明：  气泡上浮实验，基于fluent的二维模型(Bubble Floating Experiment)

多元数据分析的主分量分析投影，LZ复杂度反映的是一个时间序列中，用MATLAB编写的遗传算法路径规划。( Principal component analysis of multivariate data analysis projection, LZ complexity is reflected in a time sequence, Genetic algorithms using MATLAB path planning.)

阵列处理作业，MVDR或者其他高分辨方法，由于信号源无法确定，造成估计误差，采用对角加载的 增加单位阵法 ,以及 六源准则法 获取优化结果。(Array processing, MVDR, or other high-resolution method, the source can not be determined, resulting in the estimated error, the use of diagonal loading ' to increase the unit matrix method' , and ' six-source criteria method' to obtain optimal results.)

解无约束优化问题的锥模型拟牛顿信赖域算法。不同与传统的二次模型方法。(A quasi-Newton algorithm based on the simple dogleg method is developed.)