2004年《real-time journal》的15周年庆典特约论文 关于实时调度的权威综述，强烈推荐。

致力于资源共享！希望大家支持！让人人有书看！

透视变换 一个小JavaScript库，用于创建和应用透视变换。 给定源和目标四边形的角坐标，可以轻松地使用透视变换将一个2D四边形映射到另一个。 是一个有用的资源，可用于了解有关透视变换及其背后数学的更多信息。 是我写的一篇博客文章，内容涉及创建该库的动机及其某些应用程序的详细信息。 特征 创建函数以将点从一个任意的四边形映射到另一个，反之亦然 访问单应矩阵及其逆矩阵（用于使用CSS3转换元素） 没有外部依赖 安装 使用npm： $ npm install perspective-transform --save 有凉亭： $ bower install perspective-transform --save 基本用法 节点 var PerspT = require ( 'perspective-transform' ) ; var srcCorners = [ 158 , 64

如果想了解辐射度算法，可以看一下这本书，讲的比较详细

For Computer Systems, Computer Organization and Architecture courses in CS, EE, and ECE departments. Few students studying computer science or computer engineering will ever have the opportunity to build a computer system. On the other hand, most students will be required to use and program computers on a near daily basis. Computer Systems: A Programmer’s Perspective introduces the important and enduring concepts that underlie computer systems by showing how these ideas affect the correctness, performance, and utility of application programs. The text's hands-on approach (including a comprehensive set of labs) helps students understand the “under-the-hood” operation of a modern computer system and prepares them for future courses in systems topics such as compilers, computer architecture, operating systems, and networking. Visit the CSS:AP web page http://csapp.cs.cmu.edu for more information and resources.

作者从程序员的角度讲解了辐射度绘制的全过程,即使没有数学基础依然能够很好地读懂. 并且有全部源代码, 代码结构清晰易懂.

CMU的经典教材 本书主要介绍了计算机系统的基本概念，包括最底层的内存中的数据表示、流水线指令的构成、虚拟存储器、编译系统、动态加载库，以及用户应用等。书中提供了大量实际操作，可以帮助读者更好地理解程序执行的方式，改进程序的执行效率。此书以程序员的视角全面讲解了计算机系统，深入浅出地介绍了处理器、编译器、操作系统和网络环境，是这一领域的权威之作。 本书适合作为计算机及相关专业的本科生教材，同时也适用于编程人员参考阅读。

Computer Systems A Programmers Perspective (3rd)

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students. 优点：新，全！ 由于成书时间较晚，所以涵盖了更多最近几年的hot topic，比如Dirichlet Process 。 更重要的，是全，基本上ML领域的专有名词，你都可以在书后的index找到。说道这里，不得不佩服本书的作者Kevin Murphy，剑桥的本科，UCB的博士，MIT的博后，得到过多位大牛的真传 。 还有一个非常重要的，就是这本书配备了详尽的matlab code，你几乎可以尝试书中的每一个例子。 单从以上这几点，绝对应该把他排在所有ML教材的首位！

David Money Harris and Neil Weste 的大规模CMOS设计方面的经典参考书，最新第四版。原版E-BOOK ，颜色-彩色，清晰度-最佳（原版E书），格式-PDF。