9780262046305-026204630X-Introduction to Algorithms, fourth edition

Introduction to Algorithms, fourth edition

ISBN-13: 9780262046305
ISBN-10: 026204630X
Edition: 4
Author: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
Publication date: 2022
Publisher: The MIT Press
Format: Hardcover 1312 pages
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Book details

ISBN-13: 9780262046305
ISBN-10: 026204630X
Edition: 4
Author: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
Publication date: 2022
Publisher: The MIT Press
Format: Hardcover 1312 pages

Summary

Introduction to Algorithms, fourth edition (ISBN-13: 9780262046305 and ISBN-10: 026204630X), written by authors Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, was published by The MIT Press in 2022. With an overall rating of 4.0 stars, it's a notable title among other Computer Science (Algorithms, Programming, Programming Languages) books. You can easily purchase or rent Introduction to Algorithms, fourth edition (Hardcover) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $42.55.

Description

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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