Introduction to Algorithms – Thomas H. Cormen, Charles E. Leiserson and Ronald L. Rivest – 3rd Edition


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 on are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness.

The covers a broad range of in depth, yet makes their and 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 new chapters on the role of algorithms, probabilistic 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 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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  • I. Foundations
    II. Sorting and order statistics
    III. Data structures
    IV. Advanced design and analysis techniques
    V. Advanced data structures
    VI. Graph algorithms
    VII. Selected topics
    VIII. Appendix: Mathematical background
  • Citation

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