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    Data Structure And Algorithms Made Easy In Java

    Copyright (c) Dec 21, 2014 CareerMonk Publications and others.

    E-Mail : info@careermonk.com

    Last modification by : Narasimha Karumanchi

    Book Title : Data Structures And Algorithms Made Easy In Java

    ISBN : 9781466304161 [For India]/9781468101270 [Except India]

    Warranty : This software is provided "as is" without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose.

    Book Description:

    A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry.

    The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts.

    Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems.

    What is unique?

    Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we ennumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities.

    Topics Covered:

     Introduction
     Recursion and Backtracking
     Linked Lists
     Stacks
     Queues
     Trees
     Priority Queue and Heaps
     Disjoint Sets ADT
     Graph Algorithms
     Sorting   
     Searching   
     Selection Algorithms [Medians]   
     Symbol Tables   
     Hashing   
     String Algorithms   
     Algorithms Design Techniques   
     Greedy Algorithms   
     Divide and Conquer Algorithms   
     Dynamic Programming   
     Complexity Classes   
     Miscellaneous Concepts   
    

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