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Introduction to Algorithms (MIT Electrical Engineering and Computer Science) - Hardcover
Book 1 of 2: MIT Electrical Engineering and Computer Science
Synopsis
There are books on algorithms that are rigorous but not complete and books that cover masses of material but are not rigorous. Introduction to Algorithms combines the attributes of comprehensiveness and comprehensibility. It will be equally useful as a text, a handbook, and a general reference.
Introduction to Algorithms covers both classical material and such modern developments as amortized analysis and parallel algorithms. The mathematical exposition, while rigorous, is carefully detailed so that it will be accessible to all levels of readers. Chapters are organized so that they start with elementary material and progress to more advanced topics.
Each chapter is relatively self-contained and can be used as a unit of study. Algorithms are presented in a pseudocode that can be easily read by anyone familiar with Fortran, C, or Pascal. Numerous pertinent examples, figures, exercises, and case-study problems emphasize both engineering and mathematical aspects of the subject.
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About the Author
Thomas H. Cormen is Assistant Professor in the Department of Computer Science at Dartmouth College. Charles E. Leiserson is Professor and head of the Supercomputing Technologies Group at the Laboratory for Computer Science at MIT. Ronald L. Rivest is the Webster Professor of Electrical Engineering and Computer Science in the Department of Electrical Engineering and Computer Science and Associate Director of the Laboratory for Computer Science at MIT.
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Introduction To Algorithms MIT
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Introduction to Algorithms
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Hardback. Condition: Good. 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. 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. Seller Inventory # CIN0262031418G
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Introduction to Algorithms (MIT Electrical Engineering and Computer Science)
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Introduction to Algorithms
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Introduction to Algorithms
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Introduction to Algorithms
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Introduction to Algorithms (MIT Electrical Engineering and Computer Science)
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Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_436664137
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Introduction to Algorithms (MIT Electrical Engineering and Computer Science)
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Introduction to Algorithms (MIT Electrical Engineering and Computer Science)
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The MIT Press (edition 2nd Edition), 1990
ISBN 10: 0262031418
ISBN 13: 9780262031417
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Hardcover. Condition: Fair. 2nd Edition. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. Seller Inventory # 0262031418-7-1-13