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
Table of Contents
1. Introduction
2. Recursion and Backtracking
3. Linked Lists
4. Stacks
5. Queues
6. Trees
7. Priority Queues 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
About the book:
Pages: 434 pages
Published August 28, 2016
This edition
File : PDF, 32 MB
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