RC4加密程序

卡拉曼最优估计器算法吗，标量kalman最优估计器MATLAB实例参考《数字滤波与卡尔曼滤波》S.M.Bozic 1979实例编写，程序思路比较清晰，便于初学者理解kalman滤波的原理

一个简单的计算器,用MATLAB开发-a simple calculator, developed using MATLAB

模拟退火算法介绍，来自某一论坛，既有简介又有不同人的讨论，值得仔细揣摩、-Simulated annealing algorithm introduction, from a forum for both brief and the discussion of different people, it is worth carefully try to figure out,

应用背景在学习粒子群的过程中，在网上得到了许多宝贵的资源，受益颇多。但从网上下载的粒子群程序大多for循环和if判断满天飞，运行效率不高，这里给出一个简单易懂的粒子群和大家共同学习，整个过程除了迭代使用while循环外再无其它for和if语句，关键技术这里给出一个简单易懂的粒子群和大家共同学习，整个过程除了迭代使用while循环外再无其它for和if语句，充分发挥MATLAB的并行计算性能。其中还可以实现简单的约束优化问题，方便大家改造。

im=imread("e:301clip301.tif"); im=rgb2gray(im);              im=double(im); im = imresize( im, 0.5 );    % 为了减少程序运行时间，将图像变小为原来大小的1/2 figure(1);imshow(uint8(im)); [nrow,ncol]=size(im); J= gauss( im,3,2 );          % 为了计算函数g，先对图像作guassian预平滑 %%- 计算图像梯度模值 J_x = (J(:,[2:ncol ncol])-J(:,[1 1:ncol-1]))/2; J_y = (J([2:nrow nrow],:)-J([1 1:nrow-1],:))/2;       请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

这个代码项目是采用遗传算法实现模式匹配的实例。欢迎大家下载、试用。谢谢大家的支持！                

This algorithm was developed by Professor Ronald L. Rivest of MIT and can be found presented in several languages. What I provide to you here is a C++ derivative of the original C implementation of Professor Rivets. The library code itself is platform-independant and has been tested in Redhat Linux. I ve included the sample code and makefile that I used for the Linux test. The demo, however, was written with Visual C++ 6 on a Windows 2000 platform.-This algorithm was developed by Professor Ronald L. Rivest of MIT and can be found presented in several languages. What I provide to you here is a C derivative of the original C implementation of Professor Rivets. The library code itself is platform-independant and has been tested in Redhat Linux. I ve included the sample code and makefile that I used for the Linux test. The demo, however, was written with Visual C 6 on a Windows 2,000 platform.

这是调车作业的院子里表达式求值算法 ！！表达式转换成后缀 & 然后评估使用堆栈和队列 ！！

fft的文件，fortran环境下运行！欢迎指正！-fft documents, fortran environment running! Please correct me!

基于opencv的色彩恢复的多尺度Retinex算法（MSRCR），属于夜间图像增强算法，对去雾也有一定的处理效果，可直接运行，效果比较理想。基于opencv的色彩恢复的多尺度Retinex算法（MSRCR），属于夜间图像增强算法，对去雾也有一定的处理效果，可直接运行，效果比较理想。