calculation

对MATLAB7.0中的示例RICE.PNG图象进行米粒自动记数,输出米粒个数.其中包括中值滤波和腐蚀算法.(MATLAB7.0 examples of imagery for a grain of rice RICE.PNG automatic counting, the output number of rice grains. These include median filtering algorithm and corrosion.)

在ar人脸库上使用鉴别公共向量方法（discriminant common vector）方法实现人脸图像鉴别分析(In the ar face database using the identification of public-vector method (discriminant common vector) method of achieving facial image discriminant analysis)

说明：  自适应滤波和仿真实验，有毕设的同学可以参考下(Adaptive filtering and simulation experiments, there is complete set up for students to refer to the following)

说明：  基于matlab简单图像处理系统中用图像平均的方法消除噪声(Matlab eliminate noise using a simple image processing system based on the method of averaging the image)

MATLAB编程-菜鸟入门清晰版，还不错的入门教材。(MATLAB Programming- Introduction to a clear version of rookie)

matlab入门培训教材，包括基本学习方法和基础知识的介绍(matlab Training course)

matlab中的数据插值描述，和大家一起分享参考(Matlab interpolation of data description, and others together to share information)

高斯消去法的matlab编程的matlab源文件(Gaussian elimination method matlab programming matlab source file)

The folder contains programs i have written for my project and in college..

一、 牛顿－拉夫逊法概要 首先对一般的牛顿－拉夫逊法作一简单说明。已知一个变量X的函数 （4－6） 解此方程式时，由适当的近似值X（0）出发，根据 （4－7） 反复进行计算，当X（n）满足适当的收敛判定条件时就是（4－6）式的根。这样的方法就是所谓的牛顿－拉夫逊法。 式（4－7）就是取第n次近似解X（n）在曲线 上的点 处的切线与X轴的交点作下一次X（n+1）值的方法。参考图4－2（a）。在这一方法中为了能收敛于真解，初值X（0）的选取及函数f（X）必须满足适当的条件，如图4－2（b）所示的那种情况就不能收敛或收敛到别的根上去。 这一方法还可以做下面的解释，设第n次迭代得到的解与真值之差，即 的误差为 时，则 （4-8） 把 在 附近对 用泰勒级数展开 （4-9） 上式略去 以下的项 （4-10） 的误差可近似由上式计算出来 图4-2 （4-11） 比较式（4-7）和（4-11），可以看出牛顿-拉夫逊法的修正量和 的误差的一次项相等。 用同样的方法考虑，给出对n个变量 (:Because of the importance and complexity of power system, better algorithm and programme language is very important . An interior point method based on the perturbed Karush2Kuhn2Tucker (KKT) condition is pre2 sented in this paper , where the method and process for the optimal power flow is treated through the Matlab’s symbolic math toolbox and Mfunction is also presented. Using the symbolic code , it can improve the adaptability of the programme dramatically. The advantage is that , what we need to do is change the model expression. We can make use of the symbolic programme to check our programme while we write the Mfunctions. Using the Mat2 lab , we find the optimal solutions and calculate quickly and efficiently. It has proposed the powerful and unique functions of Matlab in the optimization and calculation for power system. Key words :power system symbolic calculation optimal power flow interior point method)