numerical-analysis

1. 牛顿迭代法 function [x,i]=newtonmethod(x0,f,ep,Nmax) 牛顿法求非线性方程根 x0是输入初始值, f是输入函数, 精度要求ep, Nmax为最大迭代次数 x是输出迭代序列,i是迭代次数 2. 二分法 function [x,k]=bisection(a,b,f,ep) 二分法解非线性方程 输入区间[a,b],函数f和误差ep, Nmax为最大二分次数 x为输出近似根, k为二分次数 ( Newton s law and the dichotomy)

塔式起重机建模文档，非常棒的商业流程和代码，可以用于ANSYS结构建模学习和工程应用实践练习，其中参数可以用户自己参考修改编写！ 此.txt文档为ANSYS的命令流（类似于ForTran）(Tower crane model documentation, great business processes and code that can be used ANSYS structural modeling study and practice of engineering practice, in which parameters can be written to modify the users own reference!)

计算方法实验，通过编程实现埃特金加速法，一般迭代法，牛顿法的收敛次数的计算(calculated experiment, Programming Aitken acceleration method, the general iterative method, the convergence of Newton's method of calculating the number of)

说明：  C-means in 2 types. C=2

fft混合基算法，c代码实现，可移植混合基的傅立叶变换算法(fft-based hybrid algorithm, c code, portable hybrid-based Fourier transform algorithm)

基于模式耦合方法建立三维面波传播模型，该代码对于做波场模拟的同学很有用。(This program calculates the wavefield produced by a monochromatic surface wave mode incoming on a 3D cartesian structure. It is based on mode coupling and multiple scattering.)

矩阵与数值分析的所有算法的Matlab实现(All matrix and numerical analysis algorithm Matlab)

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))

使用MATLAB编写的卡尔曼滤波源程序，简单易用，输出卡尔曼滤波的最优结果。(Prepared by the use of MATLAB Kalman filter source, easy-to-use, the output of the optimal Kalman filter results.)

pq快速解耦法解电力潮流 适用于电力潮流计算的初学者 简单明了(pq Solving fast decoupled power flows)