global-optimization-toolbox

使用Python编写的AI程序Pacman，可以适合AI的初学者，有BFS, DFS, UCS, A Star 运行的命令在commands.txt文件里 可以用 bash commands.txt演示(AI programs written in Python Pacman, AI can fit beginners, there BFS, DFS, UCS, the command runs in commands.txt A Star file can bash commands.txt demo)

face detection it is used to identify the face and its systematic way

toeplitz方程的求解算法，反卷积中所使用。x*h=y, 已经h,y,求x。(Equation toeplitz algorithm used in the deconvolution. x* h = y, has h, y, need to solve x)

则卡尔曼滤波的算法流程为： 1.计算预估计协方差矩阵2.计算卡尔曼增益矩阵3.更新估计4.计算更新后估计协防差矩阵(The Kalman filter algorithm processes as follows: 1. Calculate pre-estimate covariance matrix 2 calculate the Kalman gain matrix 3 updated estimate calculated after 4 update estimated defend difference matrix)

Code for obtaining stability measure of typical system

目标运动模型，三维的和二维的都有，本人毕业设计时候编写的(Target motion model, three-dimensional and two-dimensional of all, I graduated from design time to the preparation of the)

mri_toolbox是一个工具用来MRI. 来自于SourceForge, 我上传这个软件,希望能结识对医疗软件感兴趣的兄弟.(mri_toolbox is toolbox for mri.This is from the sourceforge I want to share this those who are interested in medical software.)

说明：  单相逆变，用于变频器，带PI调节，自己做的(Single-phase inverter for the drive with PI regulation, do their own)

MATLAB通信仿真及应用实例详解,很不错的一本书(MATLAB simulation and application example explanation of communication, very good book)

说明：   本程序可以绘制p3曲线，直接输入cv、cs、EX,也通过降雨或径流数据计算绘制 [cs,cv,ma] = p3plot(a,kk,b,bb,y1,cs_cv,ma,cs,cv,x0) a=20 横向网格条数 kk=200 纵坐标标注间隔（间隔要是最大值和最小值差的整数倍） b=2000 纵坐标最大值 bb=0 纵坐标最小值 y1=[] 降雨量，横向矩阵输入,如果没有请输入[] cs_cv=[2] 没有，请输入[] ma=[] 年平均降雨量，没有输入[] cs=[] 没有，请输入[] cv=[] 没有，请输入[] x0=0.01 初始概率点，百分数,没有输入[]( this program can draw P3 curve, direct input CV, CS, EX, also by rainfall or runoff data calculation and drawing The [cs, CV, ma] = p3plot (a, KK, B, BB, Y1, cs_cv, Ma, CS, CV, x0) The a=20 of the number of horizontal grid The kk=200 longitudinal coordinate labeling interval (interval if the maximum value and the minimum value of the integer times the difference) The b=2000 of the maximum longitudinal coordinates The bb=0 of the minimum longitudinal coordinates The y1=[] rainfall, transverse matrix input, if not please input [] The cs_cv=[2] no, please enter [] The ma=[] of the average annual rainfall no input []. The cs=[] no, please enter [] The cv=[] no, please enter [] x0=0.01 initial probability, percentage, no input [])