Ads · Introduction to algorithms book
Search results
Sep 1, 2009 · 4.6 2,188 ratings. #1 Best Seller in Data Structure and Algorithms. See all formats and editions. 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.
- Introduction to Algorithms, fourth edition - amazon.com
4.4 552 ratings. #1 Best Seller in Computer Programming...
- Introduction to Algorithms, Third... by Thomas H. Cormen
Introduction to Algorithms uniquely combines rigor and...
- Introduction to Algorithms, fourth edition - amazon.com
Introduction to Algorithms is a book on computer programming by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. The book has been widely used as the textbook for algorithms courses at many universities [1] and is commonly cited as a reference for algorithms in published papers, with over 10,000 citations documented ...
- Thomas T. Cormen, Charles E. Leiserson, Ronald L. Rivest
- 1312
- 1990
- 1990 (first edition)
Introduction to Algorithms, third edition. The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded...
People also ask
Where can I buy introduction to algorithms 3rd edition?
What's new in introduction to algorithms?
Who wrote Introduction to algorithms?
Is introduction to algorithms a good book?
Apr 5, 2022 · Introduction to Algorithms. Request exam copy View preview. Introduction to Algorithms, fourth edition. by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein. Hardcover. $150.00. Hardcover. ISBN: 9780262046305. Pub date: April 5, 2022. Publisher: The MIT Press. 1312 pp., 8 x 9 in, 231 color illus.
Apr 5, 2022 · 9780262046305. Pages: 1312. Quantity. Add to wishlist. Available Formats. The MIT Press Bookstore. 1 on hand, as of May 15 10:12am. (CS) On Our Shelves Now. Description. A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.
