SMARTSRC-3

实现了vc和matlab的数据连接和传递，对编程很有利，非常实用方便(ASCII code implements the query and operation of the program is very beneficial, very useful to facilitate)

一个小程序，通过使用vc++调用MATLAB求特征值和特征向量和插值。(A small procedure, by using vc++ to call MATLAB for eigenvalues and eigenvectors and interpolation.)

本文针对当前科技水平不足以有效存储电力的情况下产生的发电机机组组合的问题，考虑负荷平衡、输电线传输容量限制等实际情况产生的约束条件，建立机组组合优化模型，追求发电成本最小。同时采用矩阵实数编码遗传算法（MRCGA）和穷举搜索算法，利用MATLAB 7.0.1和C++编程，分别对模型进行求解，并对所得结果进行分析比较，以此来帮助电力部门制定机组启停计划(This article in view of the current level of science and technology would not effective storage power generator unit combination problem, considering the load balance, such as transmission line transmission capacity, the actual situation of constraint conditions, unit combination optimization model is set up, the pursuit of power generation cost minimum. At the same time using matrix real-coded genetic algorithm (MRCGA) and exhaustive search algorithm, using MATLAB 7.0.1 and c++ programming, the model is solved respectively, and analyzes and compares the results to help power unit start-stop planning department)

该软件可以解析声音信号中的dtmf编码，值得下载一试。(The software can resolve the dtmf encoding sound signals)

说明：   matlab图像增强包括直方均衡，平滑，锐化，具体实现:(MATLAB image enhancement, including histogram equalization, smoothing, sharpening, implementation:)

姿态估计的源码，可以快速算出xyz坐标，数据可以通过matlab等进行二次开发。(Pose estimation of source code, you can quickly calculate the xyz coordinates, matlab and other data can be secondary development.)

这是关于没分燃烧的udf，同学们可以借鉴，利用的是二阶矩模型(this is a combustion udf,which was using the second ju model ,you can use it for referance)

中大数计的matlab的ppt,数学建模竞赛资料(The large numbers of dollars matlabppt)

支持向量机 算法在特征提取中的应用 源代码(Support vector machine algorithm in feature extraction of the source code)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)