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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

Recurrence functions

The function representing the running time of an incremental (non-recursive) algorithm can be determined straightforwardly due to the linear, sequential nature of these algorithms. For example, consider the incremental implementation of the factorial of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>n</mml:mi></mml:math>. Table 4.1 illustrates the algorithm along with the associated computational cost in the second column.

The function describing the running time of recursive algorithms is not as straightforward as it is for incremental algorithms. To analyze the running time of recursive algorithms, we use recurrence functions or recurrence relations. These concepts are adapted from mathematics.

In mathematics, a recurrence function is an equation that defines the nth term of a sequence in terms of its preceding terms. Typically, only the previous <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>k</mml:mi></mml:math> terms of the sequence are involved in the equation, where <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>k</mml:mi></mml:math> is a parameter that does not depend on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math"><mml:mi>n</mml:mi></mml:math>. This parameter <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>k</mi></mrow></math>is known as the order of the recurrence function. Once the values...

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