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Introduction to Algorithms

You're reading from  Introduction to Algorithms

Product type Book
Published in Jun 2024
Publisher Packt
ISBN-13 9781836203872
Pages 294 pages
Edition 1st Edition
Languages
Author (1):
Cuantum Technologies LLC Cuantum Technologies LLC
Profile icon Cuantum Technologies LLC
Toc

Table of Contents (14) Chapters close

Preface 1. Chapter 1: Introduction to Algorithms 2. Chapter 2: Pseudocode and Flowcharts 3. Chapter 3: Algorithm Efficiency 4. Chapter 4: Basic Algorithm Types 5. Chapter 5: Search Algorithms 6. Chapter 6: Sort Algorithms 7. Chapter 7: Graph Algorithms 8. Chapter 8: Data Structures Used in Algorithms 9. Chapter 9: Algorithm Design Techniques 10. Chapter 10: Real World Applications of Algorithms 11. Conclusion
12. Where to continue?
13. Know more about us

9.2 Iterative Approaches

In algorithm design, there are two fundamental approaches to problem-solving: recursion and iteration. While recursion involves function calls, iterative approaches use loops to solve problems. Converting a recursive function into an iterative one is a critical skill in the software industry and requires a good understanding of both approaches.

Although recursion has its benefits, iterative approaches tend to be more efficient in terms of memory usage. This is because they do not have the overhead of function call stacks, allowing them to handle larger inputs without risking stack overflow errors.

As an example, let's take a deep dive into the iterative approach by looking at the calculation of factorial. Factorial is the product of all positive integers less than or equal to a non-negative integer n, and is denoted by n!. To calculate the factorial of a number, we can use an iterative approach that involves a loop to multiply all the numbers from 1 to...

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