The_Definitive_Guide_to_ARM_CortexM0_M0+

C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the programmer. The approach is very practical, using timing tests rather than Big O notation to analyze the efficiency of an approach. Coverage includes arrays and array lists, linked lists, hash tables, dictionaries, trees, graphs, and sorting and searching algorithms, as well as more advanced algorithms such as probabilistic algorithms and dynamic programming. This is the perfect resource for C# professionals and students alike.

本书主要介绍模型预测控制理论与方法在无人驾驶车辆路径规划与跟踪控制方面的基础应用技术。由于模型预测控制理论数学抽象特点明显，初涉者往往需要较长时间的探索才能真正理解和掌握，进一步应用到具体研究，则需要更长的过程。(This book mainly introduces the basic application technology of model predictive control theory and method in unmanned vehicle routing planning and tracking control. Because of the obvious abstract mathematical characteristics of model predictive control theory, it often takes a long time for the novice to really understand and master. Further application to specific research requires a longer process.)

ASP下动网论坛帮助文档(patrons under ASP help documentation)

说明：  自动控制原理第六版胡寿松主编课后习题答案详解(The sixth edition of automatic control principle)

Python高性能编程，本书适合初级和中级Python程序员、有一定Python语言基础想要得到进阶和提高的读者阅读。(Python High Performance Programming)

方法介绍，原理，应用，适用范围，适用lattice-boltzmann初学者(Books on Lattice Boltzmann Method Simulation Method Introduction, Principle and Application)

C++ primer 中文版教材 。。。。。。。。。。。(C++ primer book book. welcom to download)

自适应动态阈值分割 matlab实现，example： i=imread（ xxx ） thresh-tool(i) (Adaptive Dynamic threshold segmentation matlab realize, example: i = imread (xxx) thresh-tool (i))

说明：  机器学习实战（高清 中文版） 作者： Peter 本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version) Author: Peter This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)

开发mass storage的必备资料，详细介绍scsi command操作码及参数，非常有价值(scsi command)