Introduction to Algorithms, fourth edition

Introduction to Algorithms, fourth edition pdf epub mobi txt 電子書 下載 2025

Thomas H. Cormen
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The MIT Press 2022-3-22 Hardcover 9780262046305

具體描述

Thomas H. Cormen is Emeritus Professor of Computer Science at Dartmouth College.

Charles E. Leiserson is Edwin Sibley Webster Professor in Electrical Engineering and Computer Science at MIT.

Ronald L. Rivest is Institute Professor at MIT.

Clifford Stein is Wai T. Chang Professor of Industrial Engineering and Operations Research, and of Computer Science at Columbia University.

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.

New for the fourth edition

• New chapters on matchings in bipartite graphs, online algorithms, and machine learning

• New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays

• 140 new exercises and 22 new problems

• Reader feedback–informed improvements to old problems

• Clearer, more personal, and gender-neutral writing style

• Color added to improve visual presentation

• Notes, bibliography, and index updated to reflect developments in the field

• Website with new supplementary material

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##這本書一直是公認的算法學習的經典,但不知道是翻譯原因還是自己當時火候不夠,在大一初學算法的時候這本書我沒看得太懂。反而是一本用C++描述的數據結構的書讓我對數據結構和算法入瞭門。 不過後來看瞭MIT OpenCourse中這門課的錄像,纔認識到這本書的深度和精確性。結閤MIT...  

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##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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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...  

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