MaxFlowMinCut_Me

半不变量法随机潮流计算主程序 已验证 配合matpower使用(Random flow calculation the main semi-variable method is verified with the matpower use)

数值方法(MATLAB版)(第四版)[Mathews,Fink著,周璐,陈渝,钱方等译](Numerical Methods Using MATLAB)

matlab进行人脸识别的简单代码，功能简单仅供参考(simple face recognition matlab code, the function simply for reference purposes only)

说明：  matlab code for JTAG cable checking

一种matlab匹配算法，计算图像的7个不变矩 (A matlab matching algorithm to calculate the images of seven invariant moments)

编制改进一次二阶矩法计算可靠指标的程序 编制改进一次二阶矩法计算可靠指标的程序(Improve the preparation of first order second moment method to calculate a reliable indicator of the program improve the preparation of first order second moment method to calculate a reliable indicator of the program)

说明：  1、随机生成一个5*5矩阵A，元素符合均匀分布；再随机生成一个5*5矩阵B，元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算，查看运算结果。 2、创建5阶魔术矩阵，求A的行列式、特征值、逆、秩、迹、条件数。 3、假设矩阵 ，求A的LU分解、正交分解、特征值分解、奇异值分解。 4、创建6阶单位稀疏矩阵，并显示其全部元素。 (1, randomly generated a 5* 5 matrix A, elements in line with uniform distribution then randomly generated a 5* 5 matrix B, elements in line with normal distribution. Pairs of A and B to add, subtract, multiply, divide, comparison matrix operations, view the results of operations. 2, create a 5-order magic matrix, find A, determinant, eigenvalues, inverse, rank, trace, the condition number. 3, assuming that matrix, find A, LU decomposition, orthogonal decomposition, eigenvalue decomposition, singular value decomposition. 4, create a six-order unit of sparse matrix, and display all of its elements.)

finding global minimum of a function with SA algorithm

In sum capacity of an OFDM system is maximized by allocating each subchannel to the user with the highest channel gain over this channel and distributing power among subchannels in a water-filling manner.

对有类别监督的数据进行先行判别分析用于降维 数据为结构体类型，返回数据也是降维后的结构体类型。如(a.X a.y)a.X是带有类别的数据，a.y是类别信息(Synopsis: model = lda(data) model = lda(data,new_dim) Description: This function is implementation of Linear Discriminant Analysis. The goal is to train the linear transform which maximizes ratio between between-class and within-class scatter matrix of projected data.)