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许多工程软件需要用到复杂的数学算法。VC++能够形成各种用户界面， 并可以直接与系统及底层硬件交换数据。因此研究VC++和Matlab 的混合编程具有很大的实际意义。该文讨论了如何使用Matlab 的Complier 将*.m函数编译为动态链接库DLL， 提供给VC++调用的方法， 提供了一种VC++与Matlab 混合编程的快速实现。(Many engineering software need to use complex mathematical algorithms. VC++ can form a variety of user interface, and can directly exchange data systems and the underlying hardware. Therefore, VC++ and Matlab of mixed programming of great practical significance. The article discusses how to use Matlab' s Complier to*. m functions compiled as dynamic link library DLL, VC++ provided to the invoked method, provides a mixed VC++ and Matlab programming fast implementation.)

适合用来学习模糊控制的源码。模糊自适应PID效果是非常不错。PID控制器，一种工业控制方式,比例积分微分控制规律（控制器数学模型G(S)=比例＋微分＋积分）,经常用P表示比例，用I表示积分，用D表示微分。(Suitable for learning fuzzy control of the source. Fuzzy adaptive PID effect is very good. PID controller, an industrial control, PID control law (mathematical model of the controller G (S) = ratio of+ differential+ points), often expressed by P ratio, with the points I said, with the D that differential.)

自己写的Floyd,没有理解Folyd的同学可以拿去参考一下啦!!!!(Wrote it myself Floyd, do not understand Folyd students can refer to you instead!!!!)

采用稀疏矩阵的PQ分解法潮流计算程序（依据《电力系统计算》一书附录用C语言编写，使用方法、变量名称都与书上一致）(Decoupled load flow)

简单的sparse coding的小程序，基本可以了解sparse coding的工作过程。(Simple sparse coding small procedures, the basic can understand the working process of sparse coding.)

说明：  任何一个检测的信号都不可避免地受到干扰源的影响，脑电检测中的干扰源主要分为体内体外两大类。 体外干扰包括检测系统本身（如电极与头皮的接触阻抗的变化）、交流电源和环境中的电磁干扰源。把脑电图机的接地端与地线向量，并保持电极与头皮的良好接触，可以有效地抑制工频干扰。在电磁屏蔽室中进行脑电采集，能有效地避免环境中的电磁干扰。(eeg eog)

利用有限差分算法实现动力学方程的求解单个球体在环形容器中运动分析(Finite difference algorithm for solving the dynamic equations in a single sphere in the circular movement of the container)

用vc调用matlab7.0写的小程序，可以实现简单的控制系统仿真演示(with vc call matlab7.0 write small programs, can achieve a simple control system simulation demo)

CashCode protocol Visual Studio

使用push-relabel方法求解最大流问题，是国外的一个研究机构编写的，速度很快。(This is an efficient implementation of the push-relabel method. See Goldberg and Tarjan, "A New Approach to the Maximum Flow Problem," J. ACM Vol. 35, 921--940, 1988 and Cherkassky and Goldberg, "On Implementing Push-Relabel Method for the Maximum Flow Problem," Proc. IPCO-4, 157--171, 1995.)