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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

Moral responsibility

Algorithms have become deeply embedded in almost every aspect of our lives, influencing decisions from healthcare and finance to the media we consume and the products we buy. While they have greatly enhanced the quality of life for many, providing efficiency, convenience, and new capabilities, the rise of algorithms also brings significant ethical challenges and responsibilities.

One of the pressing concerns is the risk of misuse and the unintentional negative side effects that algorithms can produce. Large corporations design algorithms to maximize user engagement and drive profit, often by steering users toward advertisements or content that increases shareholder value. While these practices are legal and fall within the boundaries of business models, they raise ethical questions. For example, algorithms that prioritize attention-grabbing content can inadvertently promote sensationalism, misinformation, or polarizing content, which can have a harmful impact...

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