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Applying Math with Python

You're reading from   Applying Math with Python Practical recipes for solving computational math problems using Python programming and its libraries

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Length 358 pages
Edition 1st Edition
Languages
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Authors (2):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Table of Contents (12) Chapters Close

Preface 1. Basic Packages, Functions, and Concepts 2. Mathematical Plotting with Matplotlib FREE CHAPTER 3. Calculus and Differential Equations 4. Working with Randomness and Probability 5. Working with Trees and Networks 6. Working with Data and Statistics 7. Regression and Forecasting 8. Geometric Problems 9. Finding Optimal Solutions 10. Miscellaneous Topics 11. Other Books You May Enjoy

Finding minimal spanning trees and dominating sets

Networks have applications for a wide variety of problems. Two obvious areas that see many applications are communication and distribution. For example, we might wish to find a way of distributing goods to a number of cities (nodes) in a road network that covers the smallest distance from a particular point. For problems like this, we need to look at minimal spanning trees and dominating sets.

In this recipe, we will find a minimal spanning tree and a dominating set in a network.

Getting ready

For this recipe, we need to import the NetworkX package under the name nx and the Matplotlib pyplot module as plt.

How to do it...

Follow these steps to find a minimum spanning tree and dominating set for a network:

  1. First, we will create a sample network to analyze:
G = nx.gnm_random_graph(15, 22, seed=12345)
  1. Next, as usual, we will draw the network...
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