mahalanobis

说明：  利用pid算法控制电机转速，转速可调，数码管显示，初学者实用(Using PID algorithm to control motor speed, adjustable speed, digital display, beginners practical)

sap4源代码！by fortran 这是一个有限元计算的软件 可以完成平面，三维的计算功能(SAP4 source code! By FORTRAN This is a finite element software can be completed planar, 3D computing power)

数值计算的算法，采用c++实现，移植容易，一定能够用。(Data processing)

应用MATLAB编写的偏最小二乘法程序,且具有画图功能(MATLAB prepared by partial least squares procedure, which is drawing functions)

常微分方程求解的搜索延拓法，克服了Newton-Raphson法对初值问题影响过大的问题(Solving Ordinary Differential Equations search continuation method to overcome the Newton-Raphson method for initial value problem of the impact of the problem is too large)

通过C语言，实现龙格库塔法，用四阶龙格库塔法求解一阶微分方程组。(Through the C language, the realization of Runge-Kutta method with fourth-order Runge-Kutta method for solving first-order differential equations.)

用fortran写的牛拉潮流计算程序，实验中的结果，比较简单，仅供参考(fortran write with ox-drawn flow calculation procedure, the results of experiments, relatively simple, for information purposes only)

膜渗透 FUENT UDF 气液两相流 (Gas-liquid two-phase flow membrane permeation FUENT UDF)

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))

Using Runge-Kutta 10 inoder to solve