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Efficient Algorithm Design

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

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835886823
Length 360 pages
Edition 1st Edition
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Author (1):
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Masoud Makrehchi Masoud Makrehchi
Author Profile Icon Masoud Makrehchi
Masoud Makrehchi
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Table of Contents (21) Chapters Close

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 20. Other Books You May Enjoy

Who this book is for

The primary audience for this book is mid-career software engineers, developers, information technology professionals, and research scientists. It serves as a practical manual for understanding and applying algorithms effectively in various professional contexts.

Although this book was not initially intended as a textbook, given its lack of exercises—which may be included in a future edition – it provides numerous examples that enhance learning. We believe it can be used as a primary or secondary textbook for courses such as Design and Analysis of Algorithms for students in computer science, software engineering, and other related engineering programs. The author, who has been teaching these courses for over a decade, wrote this book to tackle the challenges that often arise when explaining complex algorithmic concepts.

While the book is geared toward readers who have some familiarity with algorithms and a background in mathematics or engineering, certain chapters have broader appeal. Chapters 1 through 5, as well as Chapters 8, 9, and 14, discuss interesting real-life decision-making scenarios, making them accessible and engaging for a wider audience beyond the technical field.

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