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# Data Structures and Algorithms Made Easy in pdf

Download this PDF book: Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles by by Karumanchi Narasimha

The objective of this chapter is to explain the importance of the analysis of algorithms, their

notations, relationships and solving as many problems as possible. Let us first focus on

understanding the basic elements of algorithms, the importance of algorithm analysis, and then

slowly move toward the other topics as mentioned above. After completing this chapter, you

should be able to find the complexity of any given algorithm (especially recursive functions).

"Data Structures And Algorithms Made Easy: Data Structures 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 Structures 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. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.

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

1. Introduction

2. Recursion and Backtracking

4. Stacks

5. Queues

6. Trees

7. Priority Queues and Heaps

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

Pages: 434 pages

Published August 28, 2016

This edition

File : PDF, 32 MB

Free Download the Book: Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles by by Karumanchi Narasimha