means文本聚类算法，用c语言实现的，聚类效果明显，适于初学者入门~...

高质量C++编程指南.pdf 软件质量是被大多数程序员挂在嘴上而不是放在心上的东西! 除了完全外行和真正的...以前捏造的C++/C 程序怎么会有那么多的毛病?” 别难过,作者只不过比你早几年、多几次惊慌而已。 请花一两个小时认真... -quality C Programming Guide. Pdf software quality is linked by the majority of programmers and not just in the mind things! In addition to completely out of the loop and genuine ... before fabrication of C/C program how did so many of the illnesses "not saddened , the author only a few years than you, it more often panic. Please spend 12 hours seriously ...

很好的程序设计的例题，通过这样的小例子可以学到很多东西-Very good program design example, through such a small example, we can learn a lot

source code of beginning directx9 ebook

SUN SCJP经典认证系列：(PDF) TestKing - 310-025 Sun SJCP Edt1.0.zip-Sun Shopping classic series certification : (PDF) TestKing- 310-025 Sun SJCP Edt1.0.zip

Thinking in Java, 3rd Edition

Java的一个框架hibernate的中文翻译学习文档，适合刚接触的朋友。-Hibernate a Java framework for learning the Chinese translation of the document, suitable for刚接触friend.

本课件是本人多年来教学实践中积累和制作的《操作系统》这门课程的教学课件（ppt格式），使用多次学生反映较好，有较高实用价值。-Courseware is the teaching practice over the years I accumulated and the production of the "system" of this curriculum courseware ( ppt format), use better reflect the number of students, which have a higher value.

matlab6.x 信号处理 清华大学出版社-matlab6.x signal processing Tsinghua University Press

这是一本从csharp之父写的经典教材啊 值得一读哦-This is a father of csharp Writing from classic worth reading materials ah Oh

The celebrated Kalman filter, rooted in the state-space formulation or linear dynamical systems, provides a recursive solution to the linear optimal filtering problem. It applies to stationary as well as nonstationary environments. The solution is recursive in that each updated estimate of the state is computed from the previous estimate and the new input data, so only the previous estimate requires storage. In addition to eliminating the need for storing the entire 1 past observed data, the Kalman filter is computationally more efficient than computing the estimate directly from the entire past observed data at each step of the filtering process.