Generator_COPT

Sort Algorithm quick sort merge sort(sort algorithm)

说明：  采用特征脸的人脸识别MATLAB程序,加了中文注释(Eigenface using MATLAB Face Recognition procedures, add the Chinese Notes)

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

FDFD方法计算双脊波导的特征模以及场分布，对计算电磁学的学习很有帮助(FDFD Method to calculate the eigenmodes and electromagnetic field distribution of double ridge waveguide,it will be very helpful for the study of computational electromagnetics)

算荧光衰减时间或者寿命的软件.matlab语言编写.(calculate the fluorescence lifetime. used directly in matlab)

matlab this is Lyapunov function for linear stable system

Method Lax_Wendroff for equation of advection 1d in Matlab

说明：  本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，对象为TE,GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, object for TE, GMM FJ algorithm is used, the effect is very good)

implementation of leach protocol on matlab

matlab 的拟牛顿方法，减少计算导数带来的计算量的一种迭代方法，用来计算非线性问题。(matlab quasi-Newton methods to reduce the computational calculation of the amount of the derivative of an iterative method to calculate the nonlinear problem.)