fitqr

分支界限费用矩阵的说明文档，非常实用,建议下载哦(Branch line cost matrix documentation, very practical, it is recommended to download Oh)

2D FDTD TE mode with a plane wave source and a PML abc

说明：  Neville插值算法，xa为自变量数组，xy为因变量数组；x为待插值的自变量(Neville interpolation algorithm, xa array as variables, xy array as the dependent variable x for the independent variables to be interpolated)

时间序列的相空间重构延迟时间和嵌入维数的CC算法(Time series analysis CC algorithm for delay time and embedding dimension)

说明：  基于matlab实现的拉格朗日插值函数，牛顿插值函数代码。(Based on MATLAB Lagrange interpolation function, Newton interpolation function code)

针对多期随机规划问题，利用情景树方法来求解(For multi-period stochastic programming problems, the use of scenarios to solve Tree)

平面波展开法计算二维三组元周期结构的带隙特性。(Plane wave expansion method for calculation of two dimensional three groups yuan cycle structure of the band gap characteristic)

点扩展函数的获取，最小二乘法估计PSF，验证通过，直接运行(Get the point spread function, least squares estimation PSF, verified by direct operation)

说明：  蒙特卡罗模拟算法模拟MR模型中有序无序相变(In this cpp, using a useful combined Monte Carlo algorithm, we simulate the MR model model to study the phase transition)

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))