Sheffield-genetic-algorithm-toolbox

用matlab编程求解无约束优化问题、线性规划问题即在一组线性不等式或等式组的约束条件下求某个线性函数的最值问题(Matlab programming for solving unconstrained optimization problems, linear programming problems that most value problem for a linear function under the constraints of a set of linear inequalities or equations group)

第k小元素（分治法） 给定一个线性序列集，要求求出其中指定的第K小的数的值和位置.如给定n个元素和一个整数i，1≤i≤n，输出这n个元素中第i小元素的值及其位置；(First k small element (divide and conquer) Given a set of linear sequence, where the specified requirements determined the K value and the small number of locations, such as a given n elements and an integer i, 1 ≤ i ≤ n, output this is the n elements of the i-th element value and the position of the small )

The attached source code is the implemenation of acoustic echo canceller and noise reduction.

说明：  关于VC++与Matlab混合编程的一些参考文献，很有参考价值(On VC++ and Matlab programming mix some reference, a good reference)

里面含有vc++代码内容和MATLAB内容，有关于程序是实现人脸识别的，很好。(Content which contains vc++ code and MATLAB content about the program is to achieve recognition, very good.)

计算最大李雅普诺夫图，来分析微分方程的分岔情况(To calculate the largest Lyapunov Figure to bifurcation analysis of differential equations)

一种基于MATLAB Simullink的风力发电系统的风力机模型。 (A based the MATLAB Simullink wind power system wind turbine model.)

利用正态分布和核密度估计计算分位数。包括正态分布分位数函数、核估计概率密度函数、核估计累计分布概率函数、核估计计算分位数函数。(Normal and kernel density estimation using sub-digit calculation. Including the normal quantile function, kernel estimate probability density function, cumulative distribution probability function kernel estimation, kernel estimate calculated quantile function.)

就是简单的闪灯显示，属于基础的，适合初学者(Is a simple flash display, is based, suitable for beginners)

系统采用的是直接标定摄像机内部参数的算法，算法借助于标定参照物直接计算摄像机的内参数。整个系统是在VC++环境下设 计并实现的，并借助了IPL和OpenCV的帮助，只要输入标定物的图像，系统就可以迅速而又准确地输出摄像机内参数的结果。通过3D 重构实验证明了该系统的有效性。相对于MATLAB实现方式，该系统使用更加方便、快捷。 (System are directly used in the internal parameters of the camera calibration algorithm, calibration algorithm by means of direct calculation of reference within the parameters of the camera. The entire system is in VC++ environment to design and implementation, and with the help of IPL and OpenCV, as long as the input image calibration objects, the system can be output quickly and accurately the results of camera intrinsic parameters. Through the 3D reconstruction of the experiment proved the effectiveness of the system. MATLAB implementation vis-à-vis the way the system more convenient to use, fast.)