cvsdmatlab

MUL CODE FOR MATLAB,,,easy to implement

ios 6 programming and example source

signal for PC software

RTW是一种可以将MATLAB与ARM或其他嵌入式平台很好的联系起来的半实物仿真技术，开发者在文本编辑器中按照相应的规范完成代码的编写之后，在matlab的commond window中进行编译，就可以得到相应的动态链接库文件，进而在simulink中定制自己的模块。本文件中包含了几种DIY模块的源码以及动态链接库文件，如有关于RTW方面的疑问请与我联系，欢迎探讨。(RTW MATLAB with ARM or other embedded platforms a good link loop simulation technology development completed in accordance with the specifications in a text editor code, compile matlab commond window, you can get the dynamic link library file, and then customize their own module in simulink. This document contains the of several DIY module source code, and dynamic link library files, if any doubt about RTW please contact me, welcome to explore.)

遗传算法程序最新版，可以提供不同的算子并且有多目标优化功能(呾Yang疻for the most唗Recent ㄛ唳terrace you can feed Andrew filthy cavity呾email people bleed at the nose of sweet sweet wine Catalpol Blue Pro Kun Zhao Kui)

C++与matlab混合编程实例，用于实现在VS2010中调用matlab程序(C++ and matlab mixed programming, call matlab program VS2010)

题目：有1、2、3、4个数字，能组成多少个互不相同且无重复数字的三位数？都是多少？ 1.程序分析：可填在百位、十位、个位的数字都是1、2、3、4。组成所有的排列后再去 　　　　　　掉不满足条件的排列。 (Title: There are numbers 1,2,3,4, how many can be composed of distinct three-digit numbers without repetition? Is how much? 1. Program Analysis: fill in the hundred, ten, a bit of the numbers are 1,2,3,4. Composed of all the permutations and then remove the arrangement does not meet the conditions.)

实现倒计时的一个小demo 可以用来参考(Countdown to achieve a small demo can be used to refer to)

61850电力协议中ft3的循环冗余检验(61850 Power Agreement ft3 of cyclic redundancy test)

说明：  粒子群算法求解约束多目标优化万能matlab代码。本代码是基于有约束条件的寻优问题，采用APSO可以加快寻优的速度，修改参数比较简单，目标函数和上下限根据自身的需要进行改动，，可以实现目标函数的寻优(Particle swarm algorithm for solving constrained multi-objective optimization universal matlab code. This code is based on the optimization problem with constraints. Using APSO can speed up the optimization process. It is relatively simple to modify the parameters. The objective function and the upper and lower limits are changed according to their own needs. The optimization of the objective function can be achieved.)