Algorithms in C, Parts 1-4

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Robed Sedgewick拥有斯坦福大学博士学位(导师为Donald E. Knuth),昔林斯顿大学计算机科学系教授,Adobe Systems公司董事,曾是XeroxPARC的研究人员,还曾就职于美国国防部防御分析研究所以及INRIA。除本书外,他还与Philippe Flajolet合著了《算法分析导论》一书

出版者:Addison-Wesley Professional
作者:[美] Robert Sedgewick
出品人:
页数:720
译者:
出版时间:1997-9-27
价格:USD 89.99
装帧:Paperback
isbn号码:9780201314526
丛书系列:
图书标签:
  • 算法 
  • Algorithm 
  • Algorithms 
  • 计算机 
  • Programming 
  • 编程 
  •  
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"This is an eminently readable book which an ordinary programmer, unskilled in mathematical analysis and wary of theoretical algorithms, ought to be able to pick up and get a lot out of.." - Steve Summit, author of C Programming FAQs Sedgewick has a real gift for explaining concepts in a way that makes them easy to understand. The use of real programs in page-size (or less) chunks that can be easily understood is a real plus. The figures, programs, and tables are a significant contribution to the learning experience of the reader; they make this book distinctive. - William A. Ward, University of South Alabama Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language. Highlights * Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures * Greater emphasis on abstract data types (ADTs) than in previous editions * Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations * New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more * Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them * Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.

具体描述

读后感

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也许关于算法方面的最大的误解,就是没有意识到它是由关系密切而又非常不同的两个部分组成的。 对于一个给定的问题,选择哪一种算法才是最适合的?选定算法之后,在编程环境中又是如何实现这个算法,是使用已有的库还是自己从头开始编写,是用 X 语言还是 Y 语言?这个算法实...  

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在小百合算法版看到 ufx222 对这本书的评价才注意到这本书。引用他的评价: “只推荐C语言的版本;而且不推荐看中文版,中文版翻译得非常之差。这是一本非常重视算法实现的书,即使是资深的优化程序的人也不会对Sedgewick的C程序有不满。作者对于基本算法都给了很多很多形象的...  

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P32 表2-4 “当M增加一倍时,顺序搜索的时间也增加一倍,但二分搜索几乎不变” 其中M当为N。 因为顺序搜索的时间复杂度跟MN正比而二分搜索跟MlogN正比,显而易见M增加时两种算法耗时均线性递增。 嗯,我的评论很短么?居然不让发表??好吧,我刷个屏看看。 刷屏刷屏刷屏刷...  

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除去图算法,第一至第四部分页数不多,但是内容详实。学算法最需要的是什么?是想象力!想象数据结构在内存中是如何变化的,查看其中的奥秘学习其中的思想。可是算法难学啊,因为有些复杂算法不好想象。这本书从数据结构到排序到搜索,介绍了每个分类里面的几大经典,各个都有...  

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美国大学本科生课程“Algorithm and Data Structure”的指定教材,我偷懒,下了中文版来看,实在是忍不了翻译,看回英文版。明明很简单的一句话能叫译者说的不明所以。真是译成这样不如不译啊。。。  

用户评价

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附图很有特色,不错

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lecturer 写的代码比书里的好太多了,一段时间的节点,我和C的估计还是继续下去C++

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非常好的算法入门书。书中的代码示例非常丰富,而且实现得优雅、高效。

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作者用心写的书,更偏重编程方面,算法导论更偏重逻辑思考和证明。

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可读性相当之不好

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