有关于c＋＋的一些思考～同More Effective C++ 一样，为了同一个目的～那就是让你的代码更好更快更有效....

本节包括主要元素：EJB体系结构：EJB体系结构。为什么要使用EJB容器

c超级经典书籍-c super classic books

protel经典教程，制作PCB板很有用的参考资料，能让你对PCB板制作有更深地了解。-Protel Tutorial classic, the production of PCB board very useful reference materials on the PCB board allows you to have a deeper understanding of the production.

数据结构的原理演示,很不错的东西,给大家分享下.-The principle data structure presentation, very good things to share with you the next.

详细介绍了分布式系统设计-details of the Distributed System Design

本软件是一个运行在Penbex OS (v1.3)上的绘制函数图像的工具。用它可以绘制平面直角坐标系下的显函数和隐函数的图像。与大部分绘制函数图像的软件不同，用本软件不但可以绘制隐函数的图像而且对隐函数的复杂程度没有限制。不过，绘制复杂隐函数的图像将花费相当长的时间，因此，请尽量以 y=f(x) 这样的显函数的形式输入函数的表达式。另外，以直观的“数学形式”显示函数的表达式也是本软件的一个特色。-the software is running on a Penbex OS (v1.3), the mapping function Image tool. It can be used mapping plane rectangular coordinate system and the significant function implicit function images. With the majority of the mapping function images of different software, use the mapping software can not only implicit function of the hidden images and the complexity of functions without restrictions. However, the implicit function mapping complex image will take a very long time, so please try to y = f (x) such a significant function in the form of the expression input function. In addition to the intuitive "mathematical form" showed the expression function of the software is also a feature.

SQLSERVER的数据类型对SQLSERVER数据库的数据类型归纳总结并列表出来利于大家的编程查阅-SQLSERVER data types right SQLSERVER database data types are summarized and the list out to everyone"s inspection program

vb的一些实用技术文档，描述了许多vb中可能用到的技术-vb some practical technical documentation to describe a lot of vb technology may be used

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

瑞泰创新ICETEK-DM642-P4开发板的实验指导书，包括如何设置CCS和一系列图形实验的指南，方便新手学习DSP开发-Ruitai innovation ICETEK-DM642-P4 development board to guide the experiments, including how to set up a CCS and a series of experiments graphics guide, facilitate the development of new learning DSP