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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)

4.3 out of 5 stars (73)

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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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Editorial Reviews

Amazon.com 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 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.

Product details

  • Publisher ‏ : ‎ The MIT Press
  • Publication date ‏ : ‎ January 1, 1990
  • Edition ‏ : ‎ 2nd Edition
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 1048 pages
  • ISBN-10 ‏ : ‎ 0262031418
  • ISBN-13 ‏ : ‎ 978-0262031417
  • Item Weight ‏ : ‎ 5.25 pounds
  • Dimensions ‏ : ‎ 8.15 x 1.97 x 10.24 inches
  • Part of series ‏ : ‎ MIT Electrical Engineering and Computer Science
  • Best Sellers Rank: #420,251 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.3 out of 5 stars (73)

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4.3 out of 5 stars
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