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p2p打洞的功能封装,对于需要使用P2P的地方可以直接引用(P2p make hole function encapsulation, the need to use p2p can direct reference)

visual c++ 网络通信编程实用案例精选(visual c++ network communications programming practical cases Featured)

局域网内的一个简单的聊天程序，分为服务器端与客户端两部分(LAN within a brief chat procedures, divided into server and client part 2)

好用电子档案管理系统是一款适用于多岗位的电子档案管理软件，好用电子档案管理系统操作简单，软件体积小，功能强大，能够帮助用户轻松管理电子文档，同时好用电子档案管理系统还有着很多特色的功能，是档案管理的有利助手。(Effective use of electronic archives management system is an electronic archives management software suitable for multiple posts. Effective use of electronic archives management system is simple to operate, small software volume, powerful, can help users easily manage electronic documents, while Effective use of electronic archives management system also has many unique functions, is archives management. A helpful assistant.)

完成补码加减乘除的硬件执行过程模拟,用VC6开发()

VC实现的MFC单文档全屏程序!!!VC实现的MFC单文档全屏程序(VC implementation of the MFC single document full screen applications)

一个封装的Modem AT命令操作类YsATModem的快速拨号程序。程序的正常使用，需要两台分别连接modem的PC机，通过电话线拨号连接。(A package category Modem AT command operation procedures YsATModem the speed dial. Procedures for normal use, the need for two separate modem to connect the PC, dial-up connection through the telephone line.)

AHP层次分析方法的程序，VB环境下开发(AHP AHP procedure, VB Development Environment)

las文件读取，转换程序。包含las转txt,las转shp等。从国外某大学上下载的开源代码。(las file read, the conversion process. Includes las transferred txt, las switch shp so. A university from abroad to download open-source code.)

VB采用最小二乘法演示如何在VB中实现线性拟合和二次拟合，编译时候需要TeeChart5.ocx，已将此文件打包，你无需再下载。新建 Microsoft Excel 工作表.xls里是测试数据，程序会自动读龋这里要说的是： 　　1.1 线性拟合：给定一组数据（xi，yi），i=1，2，…，m，做拟合直线。 　　1.2 二次拟合：给定数据系列（xi，yi），i=1，2，…，m，用二次多项式函数拟合这组数据。作出拟合函数与数据序列的均方误差最校 (VB using the method of least squares linear fit and demonstrates how to implement a quadratic fit in VB compiler when needed TeeChart5.ocx, has packed this file, you do not need to download. Newly built in Microsoft Excel worksheet xls test data, the program will automatically read caries say here is: 1.1 linear fit: Given a set of data (xi, yi), i = 1,2, ..., m, do fitting a straight line. 1.2 quadratic fit: given data series (xi, yi), i = 1,2, ..., m, with a quadratic polynomial function fitting this set of data. Fitting function to the data sequence with the best mean square error correction)