量子力学入门导论，第二版，浅显易懂，非常适合初学者

陶哲轩大神的测度论，英文版书籍，非常适合当教材使用。

非常好的一本外文汽车嵌入式软件架构相关的书藉，结合和实际开发的项目，讨论了现在的热门需求。

MIMO的2014年最新英文原版书籍,Introduction to MIMO Communications

Computational Geometry An Introduction Through Randomized Algorithms[Ketan Mulmuley] 计算几何 随机算法

最新最全答案，计算理论导引第三版课后习题答案Introduction-to-the-Theory-of-Computation-Solutions

作者: Thomas H. Cormen / Charles E. Leiserson / Ronald L. Rivest / Clifford Stein 出版社: The MIT Press 出版年: 2009-7-31 页数: 1312 定价: USD 92.00 装帧: Hardcover ISBN: 9780262033848 内容简介 · · · · · · 　　Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. 　　The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, and substantial additions to the chapter on recurrences (now called "Divide-and-Conquer"). It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. 　　As of the third edition, this textbook is published exclusively by the MIT Press.

Michael Wooldridge编写的，是第一版，不是第二版，第二版没找到。英文的。不是影印的。一共365页。

这本书是非常新（2017年）的 Multi-Armed Bandit 的学习资料，作者是Aleksandrs Slivkins， MSR 的研究员。多臂赌博机在强化学习和在线学习中有很多的应用。

实用的概率模型介绍， 要学各种概率模型， 马尔科夫链的朋友很有帮助