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When it comes to dissecting algorithms and providing a lucid analysis of their complexity, this book is unparalleled. It must be kept in mind that the book doesn't take a lot of pains to go into algorithms' implementation details such as the best data structures to use etc., so if that's the kind of information you're looking for, Sedgewick's book is more suitable. What this resource offers is the clearest explanation of classic algorithms used in computer science and provides pseudocode so that if you're motivated enough, you can implement them yourself. In my opinion, if you really are interested in algorithms, this book, along with 'Algorithms' by Dr. Sedgewick, is the perfect combination to take your knowledge and understanding to the next level.
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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. As of the third edition, this textbook is published exclusively by the MIT Press.
Info For Introduction to Algorithms, 3rd Edition
- Author: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein ( Download PDF :
) - Hardcover: 1312 pages
- ISBN-13: 978-0262033848
- Product Dimensions: 8 x 1.8 x 9 inches
- Publisher: The MIT Press; 3rd edition (July 31, 2009)
- Language: English
- ISBN-10: 0262033844
About the Author
Thomas H. Cormen is Professor of Computer Science and former Director of the Institute for Writing and Rhetoric at Dartmouth College. He is the coauthor (with Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein) of the leading textbook on computer algorithms, Introduction to Algorithms (third edition, MIT Press, 2009).
Charles E. Leiserson is Professor of Computer Science and Engineering at the Massachusetts Institute of Technology.
Ronald L. Rivest is Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.
Clifford Stein is Professor of Industrial Engineering and Operations Research at Columbia University.
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