Matrix

使用MATLAB编写的卡尔曼滤波源程序，简单易用，输出卡尔曼滤波的最优结果。(Prepared by the use of MATLAB Kalman filter source, easy-to-use, the output of the optimal Kalman filter results.)

正入射的自由曲面透镜设计，计算获得透镜的二维坐标(The free-form surface lens is incident on the design, the two-dimensional coordinates of the lens calculated)

基于热焓法的凝固传热模拟的UFluent-UDF程序(UDF for Modelling Soldification using Enthalpy Porosity Technique)

蒙特卡洛资料，对于编写概率计算问题有较多的帮助，希望能帮到需要的人。(Monte Carlo)

control souce code with LQR

最好的dijkstra 算法 matlab实现。 可以计算任意两点间的最短距离和路径。 不要参考其他的matlab程序，他们的路径都有问题。(Best Dijkstra algorithm matlab. You can calculate the shortest distance between any two points and path. Do not refer to other matlab program, their path has a problem.)

基于干扰矩阵的重置和导向矢量估计的数字波束形成，程序经过优化，可运行，里面包含了一个矩阵求积分的子程序，可参考(Reset based on interference matrix and steering vector estimation of digital beamforming, the program has been optimized to run, which contains a matrix integral subroutines, refer to)

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)

几种经典的重构算法，，很受益，初学者享用(recovery algorithm)

计算傅里叶变换程序，输入光谱，计算其傅里叶变换极限(Computing the Fourier transform procedure, the input spectra, calculate the Fourier transform limit)