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
##就內容而言，是一本非常全麵和嚴謹的教材；幾乎所有的重要的算法，都能在這部書中找到；並且對算法的實現和性能都有清楚的解釋。 但是，這隻是一本“授之以魚“，而不是”授之以漁”的書。如果過上一段時間，讓你不看書寫齣某個算法或者證明某個結論，我想可能會有不少人，總...
評分 評分 評分 評分 評分 評分我讀算法導論的目標： 書上的內容全部看懂（附錄除外，已經為這些基礎知識專門看瞭一大厚本的《離 散數學》，所以隻看瞭幾道從前沒思考過的題，），習題(excersice)和每章末的 思考題(problem)全部嘗試獨立完成，即使不能做齣，也一定要從網上找到答案。 實際完成的內容： 書...
評分##太長瞭。看過之後也動不瞭手。不適閤自學，還是當字典吧
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