Graphtheory

一本讲解在无线传感器网络中如何进行拓扑控制的书籍，老外写的，wiley出版社的产品，对研究WSN的人应该很有帮助(Explain in a wireless sensor network topology control in how the books written by foreigners, wiley publishing products, the study should be helpful in WSN)

This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other computer vision textbooks, this guide takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system.

说明：  《小白学SAS》配套材料适读人群 ：SAS用户，统计、数据分析领域的相关工作人员(sas course, Readable population: SAS users, relevant staff in the field of statistics and data analysis)

VisualC++6.0基础与实例教程，VisualC++6.0使用说明，还有具体的实例，以及源代码(VisualC++6.0-based tutorials and examples, VisualC++6.0 instructions for use, there are specific examples and source code)

其实编程的时候也要很多数学知识，所以学习好高数是必不可少的，这本题解包括知识摘要和大量习题题解，可快速吸收(In fact, when the programming will still take many mathematical knowledge, it is good to learn a high number is essential, including knowledge of this problem solution Problem title abstracts and a large number of solutions, can quickly absorb)

超小波分析与应用的讲义，包含2、3、4、7、8、9章内容，有塔式算法、脊波和曲波变换、Surfacelet变换等(The the super wavelet analysis and application of handouts, 2,3,4,7,8,9 chapter, tower algorithm, ridgelet and curvelet transform, Surfacelet transform etc.)

清华大学.计算机组成原理。课堂ppt，帮助自学的人。要自学组成的可以看看(Tsinghua University Computer Organization Principles. Classroom ppt, helping learners. To be able to look at the self-composed)

说明：  北航数值分析课件全套，包含考试题和大作业的要求。(Beihang numerical analysis courseware)

说明：  这个文档讲述了PLC开发过程的详细情况，是一本国外很经典的参考书籍，对于PLC开发者来说，很不错(This document describes the details of the development process PLC, is a classic reference books abroad, for PLC developers, very good)

说明：  用于训练压电陶瓷驱动器的输出信号，压电陶瓷驱动器的出输出存在迟滞现象，用BP神经网络训练其输入输出数据，可以预测驱动器接下来的输出数值。(Output signal for training piezoelectric actuator.The output of piezoelectric ceramic actuator is sluggish. The input and output data of piezoelectric ceramic actuator can be predicted by BP neural network training.)