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程序言考试详细答案，希望对大家有用，大家可以分享-Introduction Examination procedures detailed answers and hope for all of us, we can share the

这本书对于写出高质量的C++有重要的参考价值，作者是林锐博士，经过了几次修改，其中还包括作者自己对于编程的一些心得体会，值得一读。-To write this book for high-quality C++ Have important reference value, the author is Dr. Lin Rui, after several revisions, including the author himself for some programming experiences, worth reading.

在POP3上检查电子邮件编程代码-check on the POP3 e-mail programming code

本论文描述ACE的结构和功能，并使用来自像电信、企业级医学成像和WWW服务这样的领域的例子阐释核心的ACE特性。

JDK_API_1_6_zh_CN中文版,最新版jdk6,一起学java-JDK_API_1_6_zh_CN Chinese version, the latest version of jdk6, together with learning java

C/C++ 精华 是C/C＋＋学习的好帮手 里面有许多值得学习的地方-C/C is the best C/C++ learning with a good helper in many places worth learning

svn版本控制说明文档，适合团队开发，非常好用！-svn version control documentation, suitable for team development, very easy to use!

Person-to-person realtime IP communications, like presence, VoIP and video applications, offer clear benefits for the enterprise as time- and money-savers. Unified functionality is now available, where all of the above are integrated into one streamlined application and interconnect with other networks. This creates a very important business tool and usage is increasing.-Person-to-person realtime IP communicat ions, like presence, VoIP and video applications. offer clear benefits for the enterprise as time- and money-savers. Unified functionality is n ow available, where all of the above are integrated into one st reamlined application and interconnect with o ther networks. This creates a very important bu siness tool and usage is increasing.

该源码非常好,是用最新JAVA写的,是最先进的编程方法-The source was very good with the latest JAVA to write is the most advanced programming methods

A*（A-Star)算法是一种静态路网中求解最短路最有效的方法。 公式表示为： f(n)=g(n)+h(n), 其中f(n) 是节点n从初始点到目标点的估价函数， g(n) 是在状态空间中从初始节点到n节点的实际代价， h(n)是从n到目标节点最佳路径的估计代价。 -A* (A-Star) algorithm is a static network shortest path in solving the most effective way. Formula is expressed as: f (n) = g (n)+ H (n), in which f (n) is a node n from the initial point to the target point of the valuation function, g (n) in state space from the initial node to node n of the actual cost, h (n) from n to the target node of the estimated cost of the best path.