C-C

异或校验，用于北斗一代数据计算校验码，已验证(XOR checksum for the data checksum generation Beidou, Verified)

PSCAD interface with C

利用QS4算法解决N皇后问题，解决300万的皇后所需时间在5s左右，特别快(Use QS4 algorithm to solve the N-queens problem, solve 3000000 Queen the time required for about 5s, particularly fast)

这是地球物理学中声波波动方程正演程序，非常有用(this is a program about finite difference)

Fortran 95程序设计【彭国伦】第7章原代码，非常有学习价值！(Fortran 95 programming [Lun Peng-- Chapter 7 of the original code, the very value of learning!)

copula工具箱，可以进行copula计算，比自带的更加好用(copula toolbox)

J2流动理论加上破坏失效判据的程序，用于ABAQUS中的vumat程序，功能模拟加载到失效破坏的过程(J2 flow theory coupled with damage failure criteria of the program for the vumat ABAQUS program, functional simulation load to failure of the process of destruction)

针对三维问题，建立四面体单元的有限元方法(Finite element method for establishing tetrahedron element)

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))

拟牛顿迭代法是相对比较新的一种方法，克服了牛顿迭代需要求导数和求逆的缺点，用于求解非线性方程组(For solving nonlinear equations)