The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

【编辑推荐】 由在IBM工作50余年的资深计算机专家撰写，Amazon全五星评价，算法领域最有影响力的著作之一 Google公司首席架构师、Jolt大奖得主Hoshua Bloch和Emacs合作创始人、C语言畅销书作者Guy Steele倾情推荐 算法的艺术和数学的智慧在本书中得到了完美体现，书中总结了大量高效、优雅和奇妙的算法，并从数学角度剖析了其背后的原理 【读者评价】 “这是第一本宣称能讲解计算机算法隐晦细节的书，而且讲得还真不错。我知道的每一条技巧书里都提到了，而且还讲了好多好多我不知道的。不论是在开发程序库或编译器，还是在极力搜求优雅算法，此书都可谓天赐良册，应放在高德纳所著《计算机程序设计艺术》那套书旁边。本书第一版刊印后的10年间，它对我在Sun和Google的工作大有裨益，而第二版所添加新内容亦令我惊羡不已。” —— Joshua Bloch “初看本书书名时，我想，这是教人怎么入侵计算机系统的书吗？不太可能吧。嗯，那就肯定是一本编程小技巧的集锦。看了之后发现，没错，这就是一本编程秘籍，然而却是一本包罗万象的秘籍。第二版新增了两个大主题，并用数十个小技巧丰富了本书内容，其中有个小绝招是如何在不溢出的情况下求两数均值，我写二分查找算法时直接就把这条拿来用了。这真是本令算法爱好者开怀畅读的书啊！” —— Guy Steele 【内容简介】 在本书中，作者给我们带来了一大批极为诱人的知识，其中包括各种节省程序运行时间的技巧、算法与窍门。学习了这些技术，程序员就可写出优雅高效的软件，同时还能洞悉其中原理。这些技术极为实用，而且其问题本身又非常有趣，有时甚至像猜谜解谜一般，需要奇思妙想才行。简而言之，软件开发者看到这些改进程序效率的妙计之后，定然大喜。 本书较第1版增补了大量内容 新增了循环冗余校验（CRC）一章，其中讲解了常用的CRC-32校验码 新增了纠错码（ECC）一章，其中讲解了汉明码 详解了除数为常数的整数除法，增补了仅含移位操作和加法操作的算法 不计算商而直接求余数 扩充了与种群计数和前导0计数有关的知识 数组种群计数 执行压缩与扩展操作的新算法 LRU算法 浮点数与整数互化 估算浮点数的平方根倒数 一系列离散函数图像 各章均配有习题与参考答案

本书介绍组合数学中的基础理论和实际应用，讲述的内容非常广泛，讨论的问题涵盖组合数学所涉及的绝大部分领域。本书不仅包含了通常组合数学教科书中的经典内容，而且收集了若干新的内容，如Lovász筛法、范德瓦尔登积和式猜想、结合区组设计、码和设计等。 本书阐述深入浅出，简明易懂，适合作为高等院校高年级本科生与低年级研究生的组合数学课程教材，也适合作为数学和其他学科的研究人员的参考书。

Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.Drawing on their experiences in teaching, research, and consulting, the authors have produced a textbook that will be of interest to students and practitioners alike. Each chapter begins with the basic concepts and builds up gradually to the best techniques currently available.Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field.Above all, the authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.MMOR Mathematical Methods of Operations Research, 2001: "The book looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."

This course is offered to undergraduates and is an elementary discrete mathematics course oriented towards applications in computer science and engineering. Topics covered include: formal logic notation, induction, sets and relations, permutations and combinations, counting principles, and discrete probability.

图论导引，ISBN：9787115161536，作者：（美）沙特朗、张萍