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.
##本科時候的教材 教授的俄羅斯口音基本聽不懂 隻有考著這本書撐瞭一學期 並且在期末考試拿瞭A
評分##質飛躍
評分##剛開始看,覺得講得很清楚。
評分##這學期還離不開算法老師……
評分##這學期還離不開算法老師……
評分##Basic. Classic
評分##在stanford上瞭cs161這本是必讀書目
評分##這學期還離不開算法老師……
評分##Basic. Classic
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