Introduction to Algorithms, 3Ed. (International Edition) (MIT Press) Paperback – 31 July 2009
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A new 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. 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 new exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.
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By Aris on 2 August 2021
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But I got it for a price of 900 Rs. Still, it's not correct for the seller to ship a Xerox copy. And the quality of the xerox is not good as well because in many pages, the ink is too light and almost not readable.
Coming to the book itself, it's a great book and no doubt it. Recommend this book to anyone who wants to study algorithms.
That said, the approach, whilst detailed, is at times quite dry and heavy going, and could perhaps be broken up a little more to keep the reader refreshed and focused.
On balance given 5* for comprehensive coverage of algorithms and clear descriptions - but don't expect a pure cookbook of algorithms that can be typed in or downloaded.
The only place I could really find for Van Embde trees which apparently are the latest thing.
Very (very) comprehensive and worth persevering with - given its formality.
Really a must for reference.