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Efficient Algorithm Design

You're reading from Efficient Algorithm Design Unlock the power of algorithms to optimize computer programming

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781835886823

Length 360 pages

Edition 1st Edition

Concepts

Programming Language

Author (1):

Masoud Makrehchi

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Table of Contents (21) Chapters

Preface

1. Part 1: Foundations of Algorithm Analysis

2. Chapter 1: Introduction to Algorithm Analysis FREE CHAPTER

3. Chapter 2: Mathematical Induction and Loop Invariant for Algorithm Correctness

4. Chapter 3: Rate of Growth for Complexity Analysis

5. Chapter 4: Recursion and Recurrence Functions

6. Chapter 5: Solving Recurrence Functions

7. Part 2: Deep Dive in Algorithms

8. Chapter 6: Sorting Algorithms

9. Chapter 7: Search Algorithms

10. Chapter 8: Symbiotic Relationship between Sort and Search

11. Chapter 9: Randomized Algorithms

12. Chapter 10: Dynamic Programming

13. Part 3: Fundamental Data Structures

14. Chapter 11: Landscape of Data Structures

15. Chapter 12: Linear Data Structures

16. Chapter 13: Non-Linear Data Structures

17. Part 4: Next Steps

18. Chapter 14: Tomorrow’s Algorithms

19. Index

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20. Other Books You May Enjoy

Part 3: Fundamental Data Structures

This part explores the core data structures that underpin algorithm performance. We examine both linear and non-linear structures, exploring their operations, benefits, and trade-offs. Understanding these data structures is crucial for designing efficient algorithms and optimizing solutions.

This part includes the following chapters:

Chapter 11, Landscape of Data Structures
Chapter 12, Linear Data Structures
Chapter 13, Non-Linear Data Structures

The rest of the chapter is locked

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Authors (1)

Masoud Makrehchi

Masoud Makrehchi

Masoud Makrehchi is an associate professor at Ontario Tech University in Canada. He earned his Ph.D. in electrical and computer engineering from the University of Waterloo. With more than two decades of combined experience in industry and academia, Masoud approaches the dynamic fields of AI, machine learning, and natural language processing with a humble curiosity. Over the past 12 years, he has found deep satisfaction in guiding students through the challenging world of algorithms. His teaching philosophy emphasizes creating a collaborative learning environment where the exchange of ideas is as vital as the material itself. Masoud is committed to making the subject matter accessible and engaging, helping students develop a genuine appreciation for the art and science of algorithmic problem-solving.

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