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说明：  MATLAB 拥有大量的常用数学函数、工具箱，基本包括了现今数学、物理及工程应用领域的 常用函数，如能熟练掌握，无论在编程时间或程序量上，都远远低于Fortran、C 等高级语言，尤其在 处理矩阵和向量计算方面更具有无可比拟的优势。 我们在数学建模竞赛中，由于只有短短的三到四天，而论文的评判不仅注重计算的结果更注重模型 的创造性，比赛中把大量的时间花费在编写和调试程序上只会喧宾夺主，这是不值得的，这时使用 MATLAB 可以很大程度上的方便计算、节省时间，使我们将精力更多的放在模型的完善上，所以是较 为理想的。 这里我们仅举了一些运用 MATLAB 的例子，这些都是在数学建 模中时常遇到的问题，希望能抛砖引玉，帮助同学们在数学建模中方便、快捷的使用MATLAB，并善用这一工具。(mathematical modeling question Matlab example)

This project uses PCA (Principal Component Analysis) to detect face from 2D images.

遗传算法的实现，是计算数学中用于解决最佳化的搜索算法,是进化算法的一种(Genetic algorithm, computational mathematics used to solve optimization search algorithm, an evolutionary algorithm)

采用自编码器实现手写数字识别（matlab），是深度架构的一种。(Handwritten numeral recognition is realized by using the Auto-encoder (matlab), it is one of the deep structure.)

进行联合概率数据互联方面的仿真代码，亲测有效(This a document about JPDA matlab code about object tracking.)

《matlab与C/C++混合编程》的源代码(" Matlab and C/C++ mixed programming," the source code)

Window下c程序设计的初级教程（含代码），c程序员在windows下开发程序应该阅读的第一部资料(Programming windows via C)

a full asics of the matlab very easy to learn and identify

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.

MATLAB implementation of 4 different diffusion filtering algorithms. Better performance to remove noise than conventional low-pass filtering.