cc++头文件一览,cc++头文件说明

标准模板库-LIST 本文以List容器为例子，介绍了STL的基本内容，从容器到迭代器，再到普通函数，而且例子丰富，通俗易懂。不失为STL的入门文章，新手不容错过!-Standard Template Library-LIST to List containers this article as an example, introduce the basic elements of the STL, the iterator from the container, and then to an ordinary function, and examples of rich, user-friendly. STL after the article entry, and newcomers should not be missed!

内有一些代码，还有教程(分中文和英文可对照看)-there are some code, there Guide (English and Chinese-control can see)

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struts2.0官方教程，非常不错，有需要请下载。-struts2.0 official tutorial, very good, there is a need to download.

VC 6 数据库编程大全(图片版) 绝对经典-VC Database Programming Series 6 (Photo Edition) absolute classic!

modeling our world 系列学习资料，中文版，共10部分。-modeling our world series of learning materials, the Chinese version of a total of 10 parts.

MSP430 C语言编程的程序堆栈溢出分析-MSP430 C language programming procedures stack overflow analysis

介绍了低成本高速差动放大器AD8132的原理以及使用-Introduce a low-cost high-speed differential amplifier AD8132 Principle and the use of

本书内容分上、下两册出版。本套书是关于Microsoft Visual C++ 6.0基础类库(MFC)完整的参考手册。全面性和权威性是本书最大的特点。MFC库按照应用的功能划分为根类，MFC应用结构类，窗口、对话和控件类，绘画和打印类，简单的数据类型类，数组、列表和映射类，文件和数据库类，Internet和网络类，OLE类，调试和异常类等类。而其中的每一分类都是应用编程或其中某个方面的重要课题。本书按字母次序排列了MFC全部的类，并详细介绍了每一个类的成员，包括成员函数和数据成员，以及类之间的关系，如派生等。对于典型的用法，本书在用常规方法解释之余，还附加了精炼的代码示例，可供读者揣摩、研究。类库参考1-book covers, published in two volumes. Bentaoshu on Microsoft Visual C 6.0 basis Class (MFC) comprehensive reference hands register. Comprehensive and authoritative book is the greatest characteristics. MFC according to the application of functional roots category, MFC Application category structure, windows, dialogue and control classes, painting and print category, simple data type category, arrays, class lists and maps, documents and database category, Internet and network categories, OLE category, debugging and unusually for such category. And the classification is applied for each program or some aspect of an important topic. The book arranged in alphabetical order of all of the

模式识别――数字图像的纹理分析应用实例。《VC模式识别》源码。-pattern recognition-- digital image texture analysis application examples. "VC pattern recognition" source.