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matlab经典算法程序：插值，规划问题，数据分析，解方程，绘图(matlab ,algorithm)

MATLAB学习的好资料，主要是matlab的一些命令学习……(MATLAB learning good information, mostly matlab learning some commands ... ...)

说明：  用于计算图像鲁棒性的峰值信噪比和归一化相关系数。峰值信噪比值越大，说明图像处理效果越好，鲁棒性强，越小越不好。归一化相关系数值越大越好。(Images used to calculate the peak signal to noise ratio and robustness of the normalized correlation coefficient. The greater the peak signal to noise ratio, indicating that the better image processing, robust, the smaller the worse. Normalized correlation coefficient the better.)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

精通matlab综合辅导与指南，很经典的MATLAB学习资料。(Proficient in matlab comprehensive counseling and guidance, it is a classic learning materials MATLAB.)

计算简支梁在多个集中力，均布载荷，力偶同时作用时的剪力，弯矩并绘制其图形(Simple beam calculations in a number of concentrated force, uniformly distributed load, Couple add at the same time, the shear stress, moment and draw its graph)

利用MATLAB编写的实现纹理图像的分割，但其只是针对部分图像可以达到很好的效果，不具有普遍适应性。(Prepared using MATLAB implementation of texture image segmentation, but only for the portion of the image can be achieved very good results, do not have universal adaptability.)

说明：  我个人认为比较好的matlab 怎么应用到c上去的文档，介绍给大家，希望能喜欢。(I personally think how good Matlab Application c boost to the document, introduced to the hope of love.)

matlab svpwm：svpwm的matlab仿真主要利用matlab进行svpwm生成的PARK变换、Park逆变换、波形输出等(matlab svpwm)

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