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Book Description

Sedgewick has a real gift for explaining concepts in a way that makes them easy to understand. The use of real programs in page-size (or less) chunks that can be easily understood is a real plus. The figures, programs, and tables are a significant contribution to the learning experience of the reader; they make this book distinctive.
--William A. Ward, University of South Alabama

This edition of Robert Sedgewick's popular work provides current and comprehensive coverage of important algorithms for Java programmers. Michael Schidlowsky and Sedgewick have developed new Java implementations that both express the methods in a concise and direct manner and provide programmers with the practical means to test them on real applications.

Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 400,000 programmers!

This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. Although the substance of the book applies to programming in any language, the implementations by Schidlowsky and Sedgewick also exploit the natural match between Java classes and abstract data type (ADT) implementations.

  • Java class implementations of more than 100 important practical algorithms

  • Emphasis on ADTs, modular programming, and object-oriented programming

  • Extensive coverage of arrays, linked lists, trees, and other fundamental data structures

  • Thorough treatment of algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT implementations (search algorithms)

  • Complete implementations for binomial queues, multiway radix sorting, randomized BSTs, splay trees, skip lists, multiway tries, B trees, extendible hashing, and many other advanced methods

  • Quantitative information about the algorithms that gives you a basis for comparing them

  • More than 1,000 exercises and more than 250 detailed figures to help you learn properties of the algorithms

  • Whether you are learning the algorithms for the first time or wish to have up-to-date reference material that incorporates new programming styles with classic and new algorithms, you will find a wealth of useful information in this book.



    0201361205B08282002

    Table of Contents

    1. Title Page
    2. Copyright Page
    3. Preface
    4. Notes on Exercises
    5. Contents
    6. Part One: Fundamentals
    7. Chapter One. Introduction
    8. Chapter Two. Principles of Algorithm Analysis
    9. References for Part One
    10. Part Two: Data Structures
    11. Chapter Three. Elementary Data Structures
    12. Chapter Four. Abstract Data Types
    13. Chapter Five. Recursion and Trees
    14. References for Part Two
    15. Part Three: Sorting
    16. Chapter Six. Elementary Sorting Methods
    17. Chapter Seven. Quicksort
    18. Chapter Eight. Merging and Mergesort
    19. Chapter Nine. Priority Queues and Heapsort
    20. Chapter Ten. Radix Sorting
    21. Chapter Eleven. Special-Purpose Sorting Methods
    22. References for Part Three
    23. Part Four: Searching
    24. Chapter Twelve. Symbol Tables and Binary Search Trees
    25. Chapter Thirteen. Balanced Trees
    26. Chapter Fourteen. Hashing
    27. Chapter Fifteen. Radix Search
    28. Chapter Sixteen. External Searching
    29. References for Part Four
    30. Appendix
    31. Index
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