高效的编程，java程序员编写高效的程序。

此书为《c参考大全第四版>>的电子书，写得不错-The book for the

本文章讲述了DSP的初学者开发DSP应该注意的问题和基本开发流程！-the article describes some notes DSP starters should know and basic developing procedure

About graph study writings industry plan NURBS curved surface -About graph study writings industry plan N spline curved surface

CSDN V3.0 使用VB。Net开发 可以使用该助手访问CSDN-CSDN V3.0 VB. Net development can use the Help visit CSDN

游戏平台无需下载软体及安装软体，只要接驳上网打开网站便可进行游戏，退出后不在电脑中留下任何游戏程序。界面漂亮稳定可靠无断线，成熟稳定，功能强大，引用最新科技-Gaming platform without having to download software and install software, as long as the Internet connection will be able to open the site for the game, quit after the computer is not any games left. Interface pretty stable and reliable without disconnection, mature and stable, powerful, to use the latest technology

vc多线程教程，chm格式，希望对大家有帮助-vc multithread tutorial, chm format, would like to help everyone

C语言高级编程及实例剖析/王为青, 刘变红编著 ISBN号: 978-7-115-15423-1 出版发行项: 北京-人民邮电出版社 2007 光盘源码及可执行程序 论题主题: C 语言 附注项: 结合实例，深入浅出地介绍了C语言在主要应用领域的编程技术。全书共9章，分别为内存管理、文本屏幕界面设计、文件高级操作、图形图象、中断、通信技术、基本总线接口编程等。 附注项: C语言程序设计人员。 -C high-level programming language and examples of analysis/Wang Qing, Liu red for the ISBN number: 978-7-115-15423-1 published items: Beijing- People" s Posts & Telecom Press, 2007 CD-ROM source code and executable programs theme topic: C language note of : combination of examples to learn more on the C language in the main application areas of programming. 9 book chapters, respectively, memory management, text-screen interface design, documentation of the advanced operators, graphic images, interruption, communications technology, such as the basic bus interface programming. Note item: C language programmers.

这是一本关于C++编程的指导电子书，比较适合初学者使用～！-This is the one on the C++ Programming guide e-books, are more suitable for beginners to use ~!

统计学习理论和SVM(支持向量机).ppt入门讲义之一-statistical learning theory and SVM (support vector machine). Ppt s one of the portal

支持向量机（SVM）是在统计学习理论的基础上发展起来的新一代学习算法，该书可以帮助初学者学习SVM。-Support Vector Machine (SVM) is a statistical learning theory developed on the basis of a new generation of learning algorithm, which can help beginners learn SVM.