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Introduction to Algorithms 4th Edition By Thomas Cormen  pdf eBook ISBN13:9780262046305

 

About This eBook : 

 

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

 

Introduction to Algorithms 4th Edition is written by Thomas H. Cormen; Charles E. Leiserson; Ronald L. Rivest; Clifford Stein and published by The MIT Press. The Digital and eTextbook ISBNs for Introduction to Algorithms are 9780262367509, 0262367505 and the print ISBNs are 9780262046305, 026204630X. Save up to 80% versus print by going digital with Ebookworm.

Introduction to Algorithms 4th Edition

$85.95 Regular Price
$38.68Sale Price
  • Categories: Computers - Algorithms and Data Structures
  • Year: 2022
  • Edition: 4
  • Publisher: MIT Press
  • Language: English
  • Pages: 1677
  • ISBN 10: 026204630X
  • ISBN 13: 9780262046305
  • File: PDF, 22.22 MB
  • ISBN: 9780262367509 (eBook)
  • Pub date: April 5, 2022

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