
Introduction to Algorithms
The MIT Press · Print & ebook · July 31, 2009
A Computer Science pick for readers exploring Introduction to Algorithms.
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- Who it’s for
- A broad, rigorous treatment makes algorithm design and analysis accessible without skimping on depth.
- Themes
- Algorithms and their analysis, Dynamic programming, Multithreaded algorithms
- Genres
- Algorithms, Computer Science, Computer Resources
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Start with this bookAbout this book
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness.
Continue reading
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, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. 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 exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.
Rigor, Made Readable
A broad, rigorous treatment makes algorithm design and analysis accessible without skimping on depth.
Come here for
- Readable pseudocode alongside careful algorithm analysis
- Chapters that can stand alone as units of study
Expect
- Mathematical rigor with elementary explanations
- A substantial reference spanning many algorithmic topics
Where it sits
| Algorithms | 100% |
|---|---|
| Computer Resources | 51% |
| Computer Science | 50% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Algorithms
- Computer Resources
- Authors
- Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest
- Publisher
- The MIT Press
- Published
- July 31, 2009
- Format
- Print & ebook
- Theme
- Algorithms and their analysis · Dynamic programming · Multithreaded algorithms
- Reading lane
- Algorithms