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    Algorithms

    By Robert Sedgewick

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    About

    This is the eBook version of the printed book.

    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.

     

    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.

     

     

    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

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