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Algorithms (4TH 11 Edition)

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Algorithms (4TH 11 Edition) Cover

 

Synopses & Reviews

Publisher Comments:

Essential Information about Algorithms and Data Structures

 

A Classic Reference

The latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades.

 

Broad Coverage

Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know. See algs4.cs.princeton.edu/code.

 

Completely Revised Code

New Java implementations written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.

 

Engages with Applications

Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books.

 

Intellectually Stimulating

Engages reader interest with clear, concise text, detailed examples with visuals, carefully crafted code, historical and scientific context, and exercises at all levels.

 

A Scientific Approach

Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models.

 

Integrated with the Web

Visit algs4.cs.princeton.edu for a freely accessible, comprehensive Web site, including text digests, program code, test data, programming projects, exercises, lecture slides, and other resources.

 

Contents

Chapter 1: Fundamentals

Programming Model

Data Abstraction

Bags, Stacks, and Queues

Analysis of Algorithms

Case Study: Union-Find

 

Chapter 2: Sorting

Elementary Sorts

Mergesort

Quicksort

Priority Queues

Applications

 

Chapter 3: Searching

Symbol Tables

Binary Search Trees

Balanced Search Trees

Hash Tables

Applications

 

Chapter 4: Graphs

Undirected Graphs

Directed Graphs

Minimum Spanning Trees

Shortest Paths

 

Chapter 5: Strings

String Sorts

Tries

Substring Search

Regular Expressions

Data Compression

 

Chapter 6: Context

Synopsis:

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.

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, algs4.cs.princeton.edu 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 algs4.cs.princeton.edu. 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.

    About the Author

    Robert Sedgewick has been a Professor of Computer Science at Princeton University since 1985, where he was the founding Chairman of the Department of Computer Science. He has held visiting research positions at Xerox PARC, Institute for Defense Analyses, and INRIA, and is member of the board of directors of Adobe Systems. Professor Sedgewick’s research interests include analytic combinatorics, design and analysis of data structures and algorithms, and program visualization. His landmark book, Algorithms, now in its fourth edition, has appeared in numerous versions and languages over the past thirty years. In addition, with Kevin Wayne, he is the coauthor of the highly acclaimed textbook, Introduction to Programming in Java: An Interdisciplinary Approach (Addison-Wesley, 2008).

     

    Kevin Wayne is the Phillip Y. Goldman Senior Lecturer in Computer Science at Princeton University, where he has been teaching since 1998. He received a Ph.D. in operations research and industrial engineering from Cornell University. His research interests include the design, analysis, and implementation of algorithms, especially for graphs and discrete optimization. With Robert Sedgewick, he is the coauthor of the highly acclaimed textbook, Introduction to Programming in Java: An Interdisciplinary Approach (Addison-Wesley, 2008).

    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

    Product Details

    ISBN:
    9780321573513
    Author:
    Sedgewick, Robert
    Publisher:
    Addison-Wesley Professional
    Author:
    Wayne, Kevin
    Subject:
    Programming - Algorithms
    Subject:
    Software Engineering-Algorithms
    Copyright:
    Publication Date:
    20110309
    Binding:
    HARDCOVER
    Language:
    English
    Pages:
    992
    Dimensions:
    9.2 x 7.5 x 1.5 in 1465 gr

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    Related Subjects

    Computers and Internet » Software Engineering » Algorithms
    Computers and Internet » Software Engineering » Programming and Languages
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    Algorithms (4TH 11 Edition) New Hardcover
    0 stars - 0 reviews
    $78.20 In Stock
    Product details 992 pages Addison-Wesley Professional - English 9780321573513 Reviews:
    "Synopsis" by , 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.

    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, algs4.cs.princeton.edu 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 algs4.cs.princeton.edu. 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.

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