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Algorithms in a Nutshell (A Practical Guide)

List Price: $59.99
SKU:
9781491948927
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  • Product Details

    Author:
    George T. Heineman, Gary Pollice, Stanley Selkow
    Format:
    Paperback
    Pages:
    387
    Publisher:
    O'Reilly Media (April 26, 2016)
    Language:
    English
    ISBN-13:
    9781491948927
    ISBN-10:
    1491948922
    Dimensions:
    6" x 9"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251023163248-20251023.xml
    Folder:
    TWO RIVERS
    List Price:
    $59.99
    As low as:
    $51.59
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    16
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    17.6oz
    Imprint:
    O'Reilly Media
  • Overview

    Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance.

    With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate.

    With this book, you will:

    • Solve a particular coding problem or improve on the performance of an existing solution
    • Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use
    • Get algorithmic solutions in C, C++, Java, and Python with implementation tips
    • Learn the expected performance of an algorithm, and the conditions it needs to perform at its best
    • Discover the impact that similar design decisions have on different algorithms
    • Learn advanced data structures to improve the efficiency of algorithms