matlab-SVD

最优化算法，包括各种线性优化和非线性优化问题(Optimization algorithms, including linear optimization and nonlinear optimization problems)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

一本数值分析英文书籍，各种方法均配有相应的程序，用matlab，fortran等编写，值得一看(A numerical analysis of the English books, various methods are equipped with the appropriate procedures, using matlab, fortran, etc., worth a visit)

用蒙特卡洛法实现对排队等待问题的计算机模拟,很有学习价值，大家可以参考下，呵呵(Monte Carlo method to realize the problem of computer simulation of waiting in line, great learning value, we can refer to, huh, huh )

newmark gravity newton rapton method

学习雷达系统设计非常好的一本书，书中有很多例子，并附有MATLAB编写的雷达仿真程序(Learning radar system design is very good book, there are many examples in the book, along with a radar simulation program written in MATLAB)

A matlab program, using a image processing. Testing with small images and upload. GO go go.

介绍关于matlab与vc之间的通讯接口，以及如何实现它们之间的转换。(briefed on Matlab and vc communications between the interface, and how to achieve the conversion between them.)

这是张德丰《MATLAB概率与数理统计分析》随书源码(M文件)。代码包括的内容有：概率分布计算及统计特征、数字特征计算、统计图绘制(盒状图、散度图等)、点估计和区间估计、假设检验、方差分析、曲线拟合、回归分析、因素分析、聚类分析、正交实验设计分析、多元方差分析、判别分析、隐马尔可夫模型建模与参数估计和在语音识别中的应用。(This is Zhang Defeng " MATLAB Analysis of probability and mathematical statistics," with the book source (M file). The contents of the code include: calculation of the probability distribution and statistical characteristics, digital feature calculation, statistical mapping (box-shaped graph, scatter graph, etc.), point and interval estimation, hypothesis testing, analysis of variance, curve fitting, regression analysis, factor analysis, cluster analysis, orthogonal experimental design, multivariate analysis of variance, discriminant analysis, hidden Markov modeling and parameter estimation and application in speech recognition.)

车辆电子控制系统，方便你进行汽车电子方面的开发(Vehicle electronic control system to facilitate your development of automotive electronics)