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    Beginning Java Data Structures and Algorithms

    Posted By: AlenMiler
    Beginning Java Data Structures and Algorithms

    Beginning Java Data Structures and Algorithms by James Cutajar
    English | 27 July 2018 | ISBN: 1789537177 | 202 Pages | EPUB | 2.13 MB

    Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application.

    Key Features
    Explains in detail different algorithms and data structures with sample problems and Java implementations where appropriate
    Includes interesting tips and tricks that enable you to efficiently use algorithms and data structures
    Covers over 20 topics using 15 practical activities and exercises
    Book Description
    Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems.

    This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You'll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications.

    What you will learn
    Understand some of the fundamental concepts behind key algorithms
    Express space and time complexities using Big O notation.
    Correctly implement classic sorting algorithms such as merge and quicksort
    Correctly implement basic and complex data structures
    Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming
    Apply powerful string matching techniques and optimize your application logic
    Master graph representations and learn about different graph algorithms
    Who this book is for
    If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques.

    Table of Contents
    Algorithms and Complexities
    Sorting Algorithms and Fundamental Data Structures
    Hash Tables and Binary Search Trees
    Algorithm Design Paradigms
    String Matching Algorithms
    Graphs, Prime Numbers, and Complexity Classes