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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

Chapter 7 Summary

In this chapter, we've discovered the rich and complex field of graph theory and its applied branch, graph algorithms. We've started with an introduction to graphs, describing them as mathematical structures consisting of nodes, also known as vertices, and edges connecting these nodes. Graphs are ubiquitous in computer science and other fields, as they can represent a myriad of structures and problems: social networks, web pages, biological networks, transportation networks, and so much more.

After grounding ourselves in the fundamentals of graph theory, we plunged into the realm of specific graph algorithms. We began with the Depth-First Search (DFS), a simple yet powerful strategy for traversing or searching tree or graph data structures. It uses a last-in, first-out stack to remember to get the next vertex to start a search when a dead-end is encountered. We dove into the implementation details, exploring both the recursive and iterative versions, and discussed...

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