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Practical Discrete Mathematics

You're reading from  Practical Discrete Mathematics

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781838983147
Pages 330 pages
Edition 1st Edition
Languages
Authors (2):
Ryan T. White Ryan T. White
Profile icon Ryan T. White
Archana Tikayat Ray Archana Tikayat Ray
Profile icon Archana Tikayat Ray
View More author details
Toc

Table of Contents (17) Chapters close

Preface 1. Part I – Basic Concepts of Discrete Math
2. Chapter 1: Key Concepts, Notation, Set Theory, Relations, and Functions 3. Chapter 2: Formal Logic and Constructing Mathematical Proofs 4. Chapter 3: Computing with Base-n Numbers 5. Chapter 4: Combinatorics Using SciPy 6. Chapter 5: Elements of Discrete Probability 7. Part II – Implementing Discrete Mathematics in Data and Computer Science
8. Chapter 6: Computational Algorithms in Linear Algebra 9. Chapter 7: Computational Requirements for Algorithms 10. Chapter 8: Storage and Feature Extraction of Graphs, Trees, and Networks 11. Chapter 9: Searching Data Structures and Finding Shortest Paths 12. Part III – Real-World Applications of Discrete Mathematics
13. Chapter 10: Regression Analysis with NumPy and Scikit-Learn 14. Chapter 11: Web Searches with PageRank 15. Chapter 12: Principal Component Analysis with Scikit-Learn 16. Other Books You May Enjoy

The shortest path problem and variations of the problem

In this section, we shift our focus to a different graph-related problem: finding the shortest paths between vertices in a network. As we will discuss, this is a problem that is important for routing problems, such as finding the shortest route to travel in a car to a destination or finding the fastest way to deliver a message over a computer network. Shortest path problems have even been used to determine how to use the thrusters on small fleets of deep-space research satellites to move them into very precise positions in relation to one another with minimal fuel usage so that they could work in unison to capture images of stars.

For graphs with unweighted edges, we have previously solved this problem. Let's review this simpler problem and its solution briefly before continuing to the more general problem on networks (that is, weighted graphs). In Chapter 8, Storage and Feature Extraction of Graphs, Trees, and Networks...

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