microservice-discovery-eureka

离散相碰撞有关的udf，加强了已有的碰撞机制(The udf associated with discrete phase collisions strengthens the existing collision mechanism)

software interface between a pc keyboard and a PIC18 microchip uprocessor

说明：  IEEE33无功优化，遗传算法，牛顿拉夫逊潮流算法(Reactive Power Optimization of IEEE33, Genetic Algorithms, Newton Raphson Power Flow Algorithms)

应用分发系统最新版，支持安卓苹果自动识别(The latest version of App Distribution System supports Android Apple automatic recognition)

切换效果很炫的Flash图片展示，可作为Flash相册来用，右下角的小方块既是控制按钮，点击后是一种百叶窗形式的图片切换，图片在image文件夹下，把图片按照1,2,3,4,5的形式命名放在image里，Flash就可直接调用。

微控器工具，在MCU设计中大有使用，尽情下载！-Microcontroller tools, in the MCU design much use, you download!

本书详尽讲解了LabVIEW常用的编程方法、编程技巧和工程应用技术。全书共分为3篇，其中：入门篇归纳总结了LabVIEW编程人员必须掌握的基础知识，包括LabVIEW的基本概念、基本函数的用法和常用的运行结构，以及LabVIEW的基本数据结构和文件存储方式；高级篇细致地讲解了引用、属性、方法以及各类高级控件的运用，LabVIEW的文本方式编程以及DLL、C语言接口，基于Matlab语法的MathScript编程技术，LabVIEW基于组件的高级编程方法和编程模式；工程应用篇介绍了串口、并口和网络通信的常用方法，数据采集的基本原理和方法，LabVIEW实时系统的构建和编程，以及各种常用专业工具包的使用方法，包括数据库连接工具包、数据监控与记录工具包、报表生成工具包、状态图工具包等等。(This book explains LabVIEW commonly used programming methods, programming skills and engineering application technology. The book is divided into three articles, including: introductory summary of the LabVIEW programmer must master the basic knowledge, including the basic concepts of LabVIEW, the basic functions of the usage and commonly used operating structure, and LabVIEW basic data structure and file storage Advanced, and the use of various advanced controls, LabVIEW programming of text and DLL, C language interface, MathScript programming technology based on Matlab syntax, LabVIEW advanced programming method and programming mode based on component, The basic principles and methods of data acquisition, the construction and programming of LabVIEW real-time system, and the methods of using various commonly used professional tool kits, including connection kits, data monitoring, and so on. With the record kit, the report generation toolkit, the state diagram toolkit, and so on.)

分支定界的半监督支持向量机，将分支定界与半监督SVM完美的结合(semi-supervised support vector machine based on branch and bound)

改进版的pso， 收敛速度更加快，而且不会陷入局部最优(The improved version of PSO has faster convergence and does not fall into local optima.)

适用于生态分析的C语言代码，多样性分析以及环境因子相关性(C language code for ecological analysis)