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Copyright (c) August 28, 2016 CareerMonk Publications and others.

E-Mail : [email protected]

Last modification by : Narasimha Karumanchi

Book Title : Data Structures And Algorithms Made Easy

ISBN : 9788193245279

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

Peeling Data Structures and Algorithms for interviews [re-printed with corrections and new problems]:

"Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.

A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: 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: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in March, and it is coded in C/C++ language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. 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 enumerated 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