高速多轴加工经典举例

说明：  简单的五子棋小游戏，共广大新老程序猿参考交流(Simple Gobang games, a total of new and old program ape reference exchanges)

C#多功能科学计算器附完整源码，已经超越了数字计算哦，除了数字运算外，还可以实现表达式计算、角度和弧度计算、平方根、正切之类的运算，功能挺丰富。代码中包括了制定运算符及其特性(优先级和单双目)的运算符表、给运算表达式分块(三角函数...算术运算符等),再根据其返回值来检验其属于哪类错误，用于存放制定好的运算符及其特性(优先级和单双目)的运算符表,其初始化在方法Initialize()中。

说明：  基本电力电子仿真,适合电力电子初学者，matlab simulink 的仿真(Eletronic simulink model)

使用c++编写的vc++6.0配置工具，实现了自动配置Xtreme ToolkitPro工作环境、SDK工作环境、DDK工作环境。使得使用以上工具时，必须要花费大量时间对vc++6.0的编译环境的.h路径、.lib路径等进行添加，而且容易出错， 使用本工具一键解决。本工具中涉及到了vc++6.0工作环境读写（注册表等）,并根据选项自动更新vc++6.0的配置环境。                                                                                                                    

中国卫生信息数据元值域代码,卫生信息数据元值域代码.(Range of health information data element code range of health information data element code)

gis行业韩鹏VC+AO二次开发资料gis行业韩鹏VC+AO二次开发资料gis行业韩鹏VC+AO二次开发资料gis行业韩鹏VC+AO二次开发资料(gis industries Han Peng VC+ AO secondary development of information industry, gis Han Peng VC+ AO secondary development of information industry, gis Han Peng VC+ AO secondary development of information industry, gis Han Peng VC+ AO secondary development of information)

对数据序列进行灰度预测，返回绝对误差以及根据用户需求可以任意选取预测的数目。-Gray predicted sequence of data to return the absolute error and can be arbitrarily selected according to user demand forecast amount.

统计学习理论及应用课堂讲稿-来自麻省理工学院得好资料~-Statistical learning theory and application of classroom lectures- good information from the Massachusetts Institute of Technology ~

部分实现了追踪测速迭代松弛算法，对球谐函数图形进行仿真,一种流形学习算法（很好用）。( Partially achieved tracking speed iterative relaxation algorithm, Of spherical harmonics graphic simulation, A fluid manifold learning algorithm (good use).)

说明：  function C=capacity(SNR,Nt,Nr) %SNR=0; %定义信噪比为0HZ A=10^(SNR/10); %信噪比的单位转换关系式 Im=eye(min(Nr,Nt)); %这里的"1"为发射天线和接收天线两者数目少的根数 sum=0; %初始化sum为0 for i=1:10000 %程序循环10000次 H=randn(Nr,Nt); %产生高斯信号源 if Nr<Nt Q=H*H'; %求威沙特矩阵 else Q=H'*H; end sum=sum+log2(det(Im+A*Q/Nt)); %10000次循环得到的信道容量总和 end C=sum/10000 %10000次循环的平均值(function C=capacity(SNR,Nt,Nr) %SNR = 0;% defines SNR as 0Hz A = 10 ^ (SNR / 10);% s / N unit conversion relation Im = eye (min (NR, NT));% here "1" is the number of the less number of transmitting antenna and receiving antenna Sum = 0;% initialize sum to 0 For I = 1:10000% program cycles 10000 times H = randn (NR, NT);% produces Gaussian signal source if Nr<Nt Q = h * H ';% to find the weissard matrix else Q=H'*H; End Sum = sum + log2 (DET (IM + A * q / NT));% sum of channel capacity from 10000 cycles End C = sum / 10000% average of 10000 cycles)