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此程序展示了C++得虚继承特性 源代码是老师所推荐 规范高效的代码-display in a virtual C source code inherited characteristics recommended by teachers norms efficient code

Data Mining of FP-growth algorithm, a very good code, you can tap the database of association rules

ssh三大框架整合后的增删改查以及分页

SPI驱动源码，写得比较清楚，相信打家能从中受益-SPI driver source code, write more clearly, I believe that playing at home benefit from

随机抽样一致性算法的改进，实现参数的一致性检验，速度更快。-IRANSAC

读了老罗的“仅通过崩溃地址找出源代码的出错行”(下称"罗文")一文后，感觉该文还是可以学到不少东西的。不过文中尚存在有些说法不妥，以及有些操作太繁琐的地方 。为此，本人在学习了此文后，在多次实验实践基础上，把该文中的一些内容进行补充与改进，希望对大家调试程序，尤其是release版本的程序有帮助 。欢迎各位朋友批评指正-old Romanian read the "only by the collapse of addresses to identify the source code error" (hereinafter referred to as "Luo"), a text, the feeling of the text can still learn a lot of things. But the text of the surviving some of the comments inappropriate, and too cumbersome to operate in some areas. Therefore, I studied in the article, the practice of several experiments, based on the text of some elements to complement and improve, we hope to debug procedures, particularly release versions of the program would be helpful. Welcome ladies and correct criticism

参加多次笔试，居然有几次都考到了冒泡算法，一次是C#版的填空，一次是javascript版的全部写出。虽然每次都凭着我对冒泡法的理解给弄出来的，但是多多少少与标准模式有点差别，在网上搜了一下关于C#版的冒泡算法，居然也没有一个象样的，自己对照算法模式认真写了一个C#版的，已经测试成功-Surprisingly, there are several bubbling to the test algorithm, is a C# version of the Union, is a javascript version of the full write. Although I always relying on the Bubble Act of possibly understand, but something to do with the standard a little difference in the Internet search for a moment on the C# version of the Bubble algorithm, it would be not a decent, their control algorithm model seriously wrote a version of the C#, has been tested successfully

一部很好的c++学习视频，讲得非常详细，透彻！适合c++初学者使用，学习！ -A very good c++ Learning video, was very detailed and thorough! Suitable for c++ Beginners use to learn!

哈夫曼编译器,这个东西真的很不错，适合初学者学习。请多多下载-ha fu man bian yi qi.zhe ge dong xi hen hao de.da jia kuai dian xia zai la

隐马尔可夫模型工具箱（HTK）是一个用于建立和操作隐马尔可夫模型的可移植工具箱。HTK主要用于语音识别研究，尽管它已被用于许多其他应用，包括语音合成、字符识别和DNA测序的研究。HTK在全球数百个网站上使用。