xiugai

md5和应用（matlab和c++）,md5的不同实现形式和对其的调用例子(md5 and its application)

耦合影响格子序列仿真，随机性，平衡性，级多瓣分治混沌序列在cnma中的应用(Simulation of the impact of lattice coupling sequence, randomness, balance, class of chaotic sequence多瓣divided the application in cnma)

buck convertor and two-loop control

用matlab对信号进行WVD变换和伪wvd变换(Using matlab for signal conversion and pseudo-WVD transform wvd)

最小二乘法实现m个方程的最高n次多项式的拟合。(least-squares procedure)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

this code is used to form the ybus admittance matrix of a power system

Soluç ã o de Equaç ã o Diferencial Ordinária - Método do Ponto Médio

psychtoolbox 工具箱，专门用来脑电分析的工具箱(Psychtoolbox toolbox, dedicated to the eeg analysis toolbox)

非线性回归模型测量PH值和亚硫酸浓度的一个Matlab程序(Non-linear regression model measuring PH value and a sulfite concentration of Matlab procedures)