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
The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects. In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern study of algorithms. The revision has been updated to reflect changes in the years since the book's original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information warrants expanded coverage. As in the classic first edition, this new edition of Introduction to Algorithms presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers. Further, the algorithms are presented in pseudocode to make the book easily accessible to students from all programming language backgrounds. Each chapter presents an algorithm, a design technique, an application area, or a related topic. The chapters are not dependent on one another, so the instructor can organize his or her use of the book in the way that best suits the course's needs. Additionally, the new edition offers a 25% increase over the first edition in the number of problems, giving the book 155 problems and over 900 exercises that reinforce the concepts the students are learning.
發表於2024-09-27
Introduction to Algorithms 2024 pdf epub mobi 電子書 下載
如果你覺得TAOCP太厚瞭,那就讀這本。雖然比起很多計算機算法書籍,這本書也是很厚的,它的確值得這麼厚。 讀瞭這本書,基本上就不需要再讀其他的算法教科書瞭。
評分算法的核心思想總是會以數學抽象錶現,而這本書給人感覺就是數學對象太多,少瞭程序的思維,有些方法編寫技巧也被忽略瞭,還有就是裏麵用僞代碼描述的很多算法復雜度都是很高的。 過多的強調瞭算法的正確性,而不是實戰性質,而且都是Introduction,更多的還要看其參考...
評分 評分我對《算法導論CLRS》的態度一直是有所保留的。雖然早在國內的時候,這本書一直被推崇為經典。但我那時就覺得它對算法的描述不好。一段費解的僞碼,加上一大段費口舌的解釋。我覺得本可以做得更好。 後來知道,這是典型的美國本科生用書,美國的本科教材,大抵很羅嗦,都是厚...
評分如果你覺得TAOCP太厚瞭,那就讀這本。雖然比起很多計算機算法書籍,這本書也是很厚的,它的確值得這麼厚。 讀瞭這本書,基本上就不需要再讀其他的算法教科書瞭。
圖書標籤: Algorithms 算法 programming java En CS
Introduction to Algorithms 2024 pdf epub mobi 電子書 下載