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最小二乘法的matlab M文件，简单易懂，还画出了相应的图形(Least squares matlab M files, easy to understand, but also draw the corresponding graph)

包括优化算法源程序及算法原理介绍。自适应协方差矩阵进化策略，一种2000年左右发展起来的新优化算法，简称CMA-ES，最近十几年得到了学术界的广泛关注，非常有应用前景。这是一种黑箱子优化算法，可以再程序末自己定义优化函数，也可以调用外部程序（如有限元等）进行计算，然后提取优化函数的解。该优化算法在各种变量维度下的表现优于蚁群算法、粒子群算法，有较好的收敛性，这归功于其严谨的数学表达。(Covariance matrix adaptation evolution strategy, about one kind of new optimization algorithms developed in 2000, referred to as CMA-ES, the last ten years has been widespread concern in academic circles, very prospect. This is a black box optimization algorithm, you can then define their own optimization program at the end of the function, you can also call an external program (such as finite element, etc.) are calculated, and then extract the optimal solution function. The optimization algorithm in a variety of variable dimensions outperformed ant colony algorithm, particle swarm optimization, better convergence, thanks to its rigorous mathematical expression.)

说明：  这是一个用于数值分析的MATLAB程序集合，里面包含了一些常用的数值分析程序。(There are many programs about numerical analysis written in Matlab language.)

滑模控制工具箱，对初学者上手较快，而且这种控制方法现在正在盛行，赶快下载来一起学习吧。(Sliding mode control toolbox, for beginners to get started quickly, and this control method is now popular to download to learn it together.)

image warping source code, it has already be tested, it works well

Each AVD corresponds to a content directory that is used to store persistent disk images and configuration files.

计算mie散射相关参数，根据颗粒粒径 ，入射光波长 ，颗粒折射率，介质折射率，计算不同角度下散射光强，不同粒径下的消光系数。(Calculate the mie scattering related parameters, calculate the scattered light intensity at different angles and the extinction coefficient at different particle sizes according to particle size, incident light wavelength, particle refractive index, and medium refractive index.)

Kreftwerk-Kennzeichen system Identification System for Power Station

FEM1D_SPECTRAL_NUMERIC is a MATLAB program which applies the spectral finite element method to solve the problem u = - pi^2 sin(x) over [-1,+1] with zero boundary conditions, using as basis elements the functions x^n*(x-1)*(x+1), and carrying out the integration numerically using MATLAB s quad() function. This function solves the problem u = - pi^2 * sin( pi * x ) for x in (-1,1), with boundary conditions u(-1) = u(1) = 0.

MATLAB支持向量机，编程实现，已用C语言转，内附Windows x64和x32(MATLAB SVM Programming implementation, has been used in C language, Windows x64 and X32)