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Algorithms, 4th Edition

By Robert Sedgewick, Kevin Wayne

Published by Addison-Wesley Professional

Published Date: Mar 10, 2011

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This video-enhanced edition contains 24 hours of lectures given by the authors and recorded at Princeton University.

This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.

This edition of the book includes more than 20 hours of lectures given by the authors, taken from two of their classes, Algorithms Part I and Algorithms Part II.

The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts.

The companion web site, contains

  • An online synopsis
  • Full Java implementations
  • Test data
  • Exercises and answers
  • Dynamic visualizations
  • Lecture slides
  • Programming assignments with checklists
  • Links to related material

  • The MOOC related to this book is accessible via the "Online Course" link at The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants.

    Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

    Table of Contents

    Preface viii


    Chapter 1: Fundamentals 3

    1.1 Basic Programming Model 8

    1.2 Data Abstraction 64

    1.3 Bags, Queues, and Stacks 120

    1.4 Analysis of Algorithms 172

    1.5 Case Study: Union-Find 216


    Chapter 2: Sorting 243

    2.1 Elementary Sorts 244

    2.2 Mergesort 270

    2.3 Quicksort 288

    2.4 Priority Queues 308

    2.5 Applications 336


    Chapter 3: Searching 361

    3.1 Symbol Tables 362

    3.2 Binary Search Trees 396

    3.3 Balanced Search Trees 424

    3.4 Hash Tables 458

    3.5 Applications 486


    Chapter 4: Graphs 515

    4.1 Undirected Graphs 518

    4.2 Directed Graphs 566

    4.3 Minimum Spanning Trees 604

    4.4 Shortest Paths 638


    Chapter 5: Strings 695

    5.1 String Sorts 702

    5.2 Tries 730

    5.3 Substring Search 758

    5.4 Regular Expressions 788

    5.5 Data Compression 810


    Chapter 6: Context 853


    Index 933

    List of Algorithms 954

    List of Clients 955


    Algorithms, 4th Edition

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