具體描述
Thomas H.Cormen
達特茅斯學院計算機科學係副教授
Charles E.Leiserson
麻省理工學院計算機科學與電氣工程係教授
Ronald L.Rivest
麻省理工學院計算機科學係Andrew與Erna Viterbi具名教授
Clifford Stein
哥倫比亞大學工業工程與運籌學副教授
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.
用戶評價
##（心
評分##php和JavaScript都不適閤寫算法，then i digest... i'm gonna pick up the good parts along the way instead of pure learning
評分##算法導論的原版。大美利堅cs專業學生人手一冊
評分 評分##去年，我曾藉閱過這本《算法導論》，讀《算法導論》時常有這種想法：當讀到一章比較難懂的部分，如大段的數學證明，或者題目很難做，這個時候就會沒耐心去讀，或者草草帶過，不求甚解，有時乾脆跳過不讀～但又心存愧意，覺得碰到晦澀難懂的就不去鑽研而選擇逃避，實在不該。於...
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