Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles 5th Edition

Pdf Book Name: Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles 5th Edition
Author: Narasimha Karumanchi
Publisher: CareerMonk Plublications
ISBN-10, 13: 819324527X,9788193245279
Year: 2017
Pages: 868 / 828 Pages
Language: English
File size: 33 MB
File format: PDF,EPUB

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles 5th Edition Pdf Book Description:

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). This book would not have been possible without the help of many people. I would like to express my gratitude to all of the people who provided support, talked things over, read, wrote, offered comments, allowed me to quote their remarks and assisted in the editing, proofreading and design. In particular, It is not the main objective of this book to present you with the theorems and proofs on data structures and algorithms. I have followed a pattern of improving the problem solutions with different complexities (for each problem, you will find multiple solutions with different, and reduced, complexities). Basically, it’s an enumeration of possible solutions. With this approach, even if you get a new question, it will show you a way to think about the possible solutions. You will find this book useful for interview preparation, competitive exams preparation, and campus interview preparations. As a job seeker, if you read the complete book, I am sure you will be able to challenge the interviewers. If you read it as an instructor, it will help you to deliver lectures with an approach that is easy to follow, and as a result your students will appreciate the fact that they have opted for Computer Science / Information Technology as their degree.

This book is also useful for Engineering degree students and Masters degree students during their academic preparations. In all the chapters you will see that there is more emphasis on problems and their analysis rather than on theory. In each chapter, you will first read about the basic required theory, which is then followed by a section on problem sets. In total, there are approximately 700 algorithmic problems, all with solutions. If you read the book as a student preparing for competitive exams for Computer Science / Information Technology, the content covers all the required topics in full detail. While writing this book, my main focus was to help students who are preparing for these exams. In all the chapters you will see more emphasis on problems and analysis rather than on theory. In each chapter, you will first see the basic required theory followed by various problems. For many problems, multiple solutions are provided with different levels of complexity. We start with the brute force solution and slowly move toward the best solution possible for that problem. For each problem, we endeavor to understand how much time the algorithm takes and how much memory the algorithm uses.

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