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Data Structures and Algorithms Made Easy in Java

Narasimha Karumanchi

237 ratings by Goodreads
ISBN 10: 8192107558 / ISBN 13: 9788192107554
Published by Careermonk Publications, 2011
New Condition: New
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Bibliographic Details

Title: Data Structures and Algorithms Made Easy in ...

Publisher: Careermonk Publications

Publication Date: 2011

Binding: PAP

Book Condition:New

About this title

Synopsis:

Peeling Data Structures and Algorithms [re-printed on 19-August-2016]:Table of Contents: goo.gl/hMYJGqSample Chapter: goo.gl/DqVs8pSource Code: goo.gl/e3imfVVideos: goo.gl/BcHq74
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:

  1. Introduction
  2. Recursion and Backtracking
  3. Linked Lists
  4. Stacks
  5. Queues
  6. Trees
  7. Priority Queue and Heaps
  8. Disjoint Sets ADT
  9. Graph Algorithms
  10. Sorting   
  11. Searching   
  12. Selection Algorithms [Medians]   
  13. Symbol Tables   
  14. Hashing   
  15. String Algorithms   
  16. Algorithms Design Techniques   
  17. Greedy Algorithms   
  18. Divide and Conquer Algorithms   
  19. Dynamic Programming   
  20. Complexity Classes   
  21. Miscellaneous Concepts   
Target Audience?
   
These books prepare readers for interviews, exams, and campus work. 

Language?

All code was written in Java. If you are using C/C++, please search for "Data Structures and Algorithms Made Easy".Note: If you already have "Data Structures and Algorithms Made Easy" no need to buy this.

Also, check out sample chapters and the blog at: CareerMonk.com

From the Author:

Objective of this book is to present the ideas for solving data-structure and algorithmic problems. I request to go through the first chapter as it describes when do we (situations) get different complexities like O(logn), O(n^2), O(loglogn), O(nlogn), O(2^n) etc.. Once you understand them, remaining chapters looks easy as we refer these complexities at every place.

"About this title" may belong to another edition of this title.

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