linuxfilesystem

说明：  这个文件夹里有很多对云任务分配的算法 例如PSO、FCFS、SJF等(There are many cloud task allocation algorithms in this folder, such as PSO, FCFS, SJF, etc.)

qt 自带例子，addressbook，能够调试通过(qt own example, addressbook, to debug through)

说明：  basket option pricing

说明：  2048游戏完整项目开发，安卓开发源码，写的游戏源码，调用安卓的api，项目完整可以测试(android Game test game complete project development, Android development source code, written game source code, call Android's API, the project integrity, you can test)

java servlet规范3.1 官方文档解释，仅供参考(java servlet standard，official 3.1 edition)

说明：  哈夫曼树编码,利用哈夫曼树算法实现对数据的压缩,很好,不错(Huffman tree coding, using Huffman tree algorithm to achieve data compression, good, good)

点量BT的开发目的是让用户无需关心和了解BT的具体实现细节，只需要写几十行甚至几行代码，便可以实现一个功能完善而且强大的BT应用软件。目前点量BT已经在多家客户的网吧游戏更新系统 / 教育视频BT下载系统中应用. 点量BT源码使用高效的c++代码编写，提供标准的动态链接库（DLL），可供C/C++、Delphi、C#、Java、VB等语言和各常用开发环境调用，让您完全像调用系统API一样的调用 -BT point volume was developed to allow users without concern for and understanding of BT specific implementation details, just to write dozens of lines and even a few lines of code, they can realize a fully functional and powerful application software BT. BT has been present at the volume of customers in the Internet cafe to update the game system/education video download BT System. Point the volume of efficient use of BT source c++ Coding, provides a standard dynamic-link library (DLL), available C/C++, Delphi, C#, Java, VB and other language and the common development environment called, allows you to completely the same as calling the system call API

3gQQ机器人易语言源码，程序结合易语言扩展界面支持库，实现QQ自动应答功能。(3gQQ robot easy language source code , the program combined with easy language support library expansion interface , achieve QQ automatic answering function .)

Windows下的多媒体定时器源码，可以定时精度到1ms，是一些在Windows下开发软实时系统的一个比较好的选择！(Windows source code under the multimedia timer can be timed to a precision of 1ms, some soft real-time in the Windows system, developed under a relatively good choice!)

C++的学习资料，上传上来给大家下载学习用(C++ learning material, upload up to everyone with download learning )