编程珠玑（英文版・第2版）

书名：编程珠玑（英文版・第2版）
作者：[美]JonBentley
译者：
ISBN：9787115232601
出版社：人民邮电出版社
出版时间：2010-8
格式：epub/mobi/azw3/pdf
页数：239
豆瓣评分： 9.4

书籍简介：

多年以来，当程序员们推选出最心爱的计算机图书时，《编程珠玑》总是位列前列。正如自然界里珍珠出自细沙对牡蛎的磨砺，计算机科学大师Jon Bentley以其独有的洞察力和创造力，从磨砺程序员的实际问题中凝结出一篇篇不朽的编程“珠玑”。这些文章是《ACM通讯》最受欢迎的专栏文章，最终结集为两部书出版。本书为第一卷，主要讨论计算机科学中最本质的问题：如何正确选择和高效地实现算法。 在书中，作者选取许多具有典型意义的复杂编程和算法问题，生动描绘了历史上众多大师们在探索解决方案中发生的轶事、走过的弯路和不断精益求精的历程，引导读者开展创新性的思考。书中透彻阐述和总结了许多独特而精妙的设计原则、思考和解决问题的方法以及实用程序设计技巧。解决方案的代码均以C/C++语言编写，不仅有趣，而且有很大的实战示范意义。每章后所附习题极具挑战性和启发性，书末给出了简洁的解答。

作者简介：

1953年2月20日出生于美国加州长滩。1974年毕业于斯坦福大学数学系，1976年获北卡罗来纳大学博士学位。他先后任职于卡内基一梅隆大学(1976—1982)、贝尔实验窒(1982—2001)和Avaya实验室(2001年至今)。在卡内基一梅隆大学任教期间。他培养了许多后来知名的计算机大家，包括Scribe的开发者Brian Reid，Tcl语言设计者John Ousterhout。Java专家Joshua Btoch，Java语言设计者James Gosling，《算法导论》作者之—Charles Leiserson。2004年荣获Dr.Dobb's程序设计卓越奖。

书友短评：

@ Geek.cs 作者是发明k-d树的牛人啊 @ Meteoric 可能C/C++已经被我遗忘的差不多了，所以啃这本书还需要更多时间好好再读它 @ DrugCooker 再翻一遍还是有收获 @ 五小聊 很有意思的基础 @ 懒猫 经典算法应用。 @ hi..螺螺*_* 有点枯燥啊…… @ 懒猫 经典算法应用。 @ DrugCooker 再翻一遍还是有收获 @ 青朔 原版的就是要好很多，推荐英文版啊 @ [已注销] 算法高效

CONTENTS
Part I: PRELIMINARIES 1
Column 1: Cracking the Oyster 3
A Friendly Conversation ~ Precise Problem Statement ~ Program Design ~
Implementation Sketch. Principles ~ Problems. Further Reading
Column 2: Aha! Algorithms 11
Three Problems ~ Ubiquitous Binary Search ~ The Power of Primitives ~
Getting It Together: Sorting. Principles. Problems. Further Reading.
Implementing an Anagram Program
Column 3: Data Structures Programs 21
A Survey Program ~ Form-Letter Programming ~ An Array of Examples ~
Structuring Data. Powerful Tools for Specialized Data ~ Principles ~ Prob-
lems ~ Further Reading
Column 4: Writing Correct Programs 33
The Challenge of Binary Search ~ Writing the Program ~ Understanding the
Program. Principles ~ The Roles of Program Verification ~ Problems.
Further Reading
Column 5: A Small Matter of Programming 45
From Pseudocode to C ~ A Test Harness ~ The Art of Assertion ~ Auto-
mated Testing ~ Timing ~ The Complete Program. Principles ~ Problems
~ Further Reading ~ Debugging
Part II: PERFORMANCE 59
Column 6: Perspective on Performance 61
A Case Study. Design Levels. Principles. Problems ~ Further Reading
Column 7: The Back of the Envelope 67
Basic Skills ~ Performance Estimates ~ Safety Factors ~ Little's Law ~
Principles ~ Problems ~ Further Reading ~ Quick Calculations in Everyday
Life
Column 8: Algorithm Design Techniques 77
The Problem and a Simple Algorithm ~ Two Quadratic Algorithms ~ A
Divide-and-Conquer Algorithm ~ A Scanning Algorithm ~ What Does It
Matter? ~ Principles. Problems. Further Reading
Column 9: Code Tuning 87
A Typical Story ~ A First Aid Sampler ~ Major Surgery Binary Search ~
Principles. Problems. Further Reading
Column 10: Squeezing Space 99
The Key Simplicity ~ An Illustrative Problem. Techniques for Data
Space. Techniques for Code Space ~ Principles ~ Problems ~ Further
Reading ~ A Big Squeeze
Part III: THE PRODUCT 113
Column 11: Sorting 115
Insertion Sort ~ A Simple Quicksort ~ Better Quicksorts ~ Principles ~
Problems ~ Further Reading
Column 12: A Sample Problem 125
The Problem ~ One Solution. The Design Space. Principles ~ Problems
~ Further Reading
Column 13: Searching 133
The Interface ~ Linear Structures ~ Binary Search Trees ~ Structures for
Integers. Principles. Problems. Further Reading. A Real Searching
Problem
Column 14: Heaps 147
The Data Structure ~ Two Critical Functions ~ Priority Queues ~ A Sorting
Algorithm. Principles. Problems. Further Reading
Column 15: Strings of Pearls 161
Words ~ Phrases ~ Generating Text ~ Principles ~ Problems ~ Further
Reading
Epilog to the First Edition 175
Epilog to the Second Edition 177
Appendix 1: A Catalog of Algorithms 179
Appendix 2: An Estimation Quiz 183
Appendix 3: Cost Models for Time and Space 185
Appendix 4: Rules for Code Tuning 191
Appendix 5: C++ Classes for Searching 197
Hints for Selected Problems 201
Solutions to Selected Problems 205
Index 233
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