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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

The master theorem

In the analysis of algorithms, the master theorem plays a crucial role in solving recurrences for divide-and-conquer algorithms. Introduced in 1980, it has become a mainstream approach for estimating the complexity of a wide range of recurrence functions. The master theorem provides a straightforward framework for determining the asymptotic behavior of recurrences of the following form:

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" display="block"><mml:mi>T</mml:mi><mml:mfenced separators="|"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:mfenced><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mi>T</mml:mi><mml:mfenced separators="|"><mml:mrow><mml:mfrac><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mi>b</mml:mi></mml:mrow></mml:mfrac></mml:mrow></mml:mfenced><mml:mo>+</mml:mo><mml:mi>f</mml:mi><mml:mfenced separators="|"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:mfenced></mml:math>

Here, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>a</mml:mi><mml:mo>≥</mml:mo><mml:mn>1</mml:mn></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>b</mml:mi><mml:mo>></mml:mo><mml:mn>1</mml:mn></mml:math> are constants, and f(n), the driving function, is an asymptotically positive function bounded by polynomial functions. This means there exist two polynomial functions <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>g</mml:mi><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>h</mml:mi><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo></mml:math> such that the following is the case:

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" display="block"><mml:mi>g</mml:mi><mml:mfenced separators="|"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:mfenced><mml:mo>≤</mml:mo><mml:mi>f</mml:mi><mml:mfenced separators="|"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:mfenced><mml:mo>≤</mml:mo><mml:mi>h</mml:mi><mml:mfenced separators="|"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:mfenced></mml:math>

The importance of the master theorem lies in its ability to simplify the complexity analysis of many common algorithms, such as merge sort, quicksort, and binary search, among others. By categorizing the behavior of the recurrence based on the relationship between <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>f</mml:mi><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:msup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">log</mml:mi></mml:mrow><mml:mrow><mml:mi>b</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>⁡</mml:mo><mml:mrow><mml:mi>a</mml:mi></mml:mrow></mml:mrow></mml:mrow></mml:msup></mml:math>, the master theorem allows for quick and accurate complexity estimation without...

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