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Synopsis
The first edition won the award for Best 1990 Professional and Scholarly Book in Computer Science and Data Processing by the Association of American Publishers. This edition is no longer available. Please see the Second Edition of this title.
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Review
If you had to buy just one text on algorithms, Introduction to Algorithms is a magnificent choice. The book begins by considering the mathematical foundations of the analysis of algorithms and maintains this mathematical rigor throughout the work. The tools developed in these opening sections are then applied to sorting, data structures, graphs, and a variety of selected algorithms including computational geometry, string algorithms, parallel models of computation, fast Fourier transforms (FFTs), and more.
This book's strength lies in its encyclopedic range, clear exposition, and powerful analysis. Pseudo-code explanation of the algorithms coupled with proof of their accuracy makes this book is a great resource on the basic tools used to analyze the performance of algorithms.
About the Author
Thomas H. Cormen is Professor of Computer Science and former Director of the Institute for Writing and Rhetoric at Dartmouth College.
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.
"About this title" may belong to another edition of this title.
- Publishermc.graw-hill
- Publication date1990
- ISBN 10 0262031418
- ISBN 13 9780262031417
- BindingHardcover
- Edition number2
- Number of pages1048
- Rating
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Introduction to Algorithms (MIT Electrical Engineering and Computer Science)
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Hardcover. Condition: USED_GOOD. 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. Seller Inventory # AMPLE0262031418
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