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A Handbook of Mathematical Models with Python

You're reading from   A Handbook of Mathematical Models with Python Elevate your machine learning projects with NetworkX, PuLP, and linalg

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781804616703
Length 144 pages
Edition 1st Edition
Languages
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Author (1):
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Ranja Sarkar Ranja Sarkar
Author Profile Icon Ranja Sarkar
Ranja Sarkar
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Table of Contents (16) Chapters Close

Preface 1. Part 1:Mathematical Modeling
2. Chapter 1: Introduction to Mathematical Modeling FREE CHAPTER 3. Chapter 2: Machine Learning vis-à-vis Mathematical Modeling 4. Part 2:Mathematical Tools
5. Chapter 3: Principal Component Analysis 6. Chapter 4: Gradient Descent 7. Chapter 5: Support Vector Machine 8. Chapter 6: Graph Theory 9. Chapter 7: Kalman Filter 10. Chapter 8: Markov Chain 11. Part 3:Mathematical Optimization
12. Chapter 9: Exploring Optimization Techniques 13. Chapter 10: Optimization Techniques for Machine Learning 14. Index 15. Other Books You May Enjoy

Graph Theory

Graphs are mathematical structures that are used to model pairwise relationships. Graph theory provides a tool to quantify these relationships in a dynamic system. In other words, graphs are ways to represent a network or a collection of interconnected objects. Graph theory is mostly applied in operations research and social sciences. Its history dates back to the 18th century when the Swiss mathematician Leonhard Euler solved the Königsberg bridge problem (Figure 6.1), which served as a precursor to graph theory. The city of Königsberg in Russia was set on both sides of the Pregel river and included two large islands, namely, Kneiphof and Lomse, which were connected by seven bridges. The problem was to devise a walk through the city that would cross each of these bridges only once. Euler drew out the first known visual representation of a modern graph for the city. It is represented (abstractly) by a set of points known as vertices or nodes, connected by a set...

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