CH2CH5CH7

电力系统谐波潮流计算程序，根据各个节点谐波电力发射值采用解耦算法计算各个节点谐波电压(Harmonic voltage power system harmonic flow calculation procedures decoupling algorithm based on the harmonic power emitted value of each node, each node)

多重网格方法求解矩形边界条件下泊松方程，偏微分方程数值求解(use multigrid method to solve poisson equation in rectangular domain)

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

最小二乘算法，最小均方误差等算法的MSE的计算，MATLAB代码(Least-squares algorithm, such as minimum mean square error MSE calculation algorithm, MATLAB code)

雅可比迭代（过关法）计算实对称矩阵的特征值和特征向量(Jacobi iteration (immigration law) the calculation of Real Symmetric Matrix Eigenvalues and eigenvectors)

柔顺机构的拓扑优化设计的代码，考虑输入输出(Topology Optimization of Compliant Mechanisms designed code, consider the input and output)

Fortran program which can be used to solve linear system

三个MATLAB里实现傅里叶变换FFT的源程序代码，每种代码都进行了作图演示(Three in MATLAB source code to achieve Fourier Transform (FFT), each code have been mapped demo)

阵列处理作业，MVDR或者其他高分辨方法，由于信号源无法确定，造成估计误差，采用对角加载的 增加单位阵法 ,以及 六源准则法 获取优化结果。(Array processing, MVDR, or other high-resolution method, the source can not be determined, resulting in the estimated error, the use of diagonal loading ' to increase the unit matrix method' , and ' six-source criteria method' to obtain optimal results.)

用MATLAB实现模拟立方体的重构,是计算机视觉中三维重构的重要的应用实验(Simulating cube reconstruction with MATLAB is an important application experiment of 3D reconstruction in computer vision.)