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Applying Math with Python

You're reading from   Applying Math with Python Over 70 practical recipes for solving real-world computational math problems

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Length 376 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: An Introduction to Basic Packages, Functions, and Concepts 2. Chapter 2: Mathematical Plotting with Matplotlib FREE CHAPTER 3. Chapter 3: Calculus and Differential Equations 4. Chapter 4: Working with Randomness and Probability 5. Chapter 5: Working with Trees and Networks 6. Chapter 6: Working with Data and Statistics 7. Chapter 7: Using Regression and Forecasting 8. Chapter 8: Geometric Problems 9. Chapter 9: Finding Optimal Solutions 10. Chapter 10: Improving Your Productivity 11. Index 12. Other Books You May Enjoy

Computing convex hulls

A geometric figure is said to be convex if every pair of points within the figure can be joined using a straight line that is also contained within the figure. Simple examples of convex bodies include points, straight lines, squares, circles (disks), regular polygons, and so on. The geometric figure shown in Figure 8.5 is not convex since the points on the opposite sides of the hole cannot be connected by a straight line that remains inside the figure.

Convex figures are simple from a certain perspective, which means they are useful in a variety of applications. One problem involves finding the smallest convex set that contains a collection of points. This smallest convex set is called the convex hull of the set of points.

In this recipe, we’ll learn how to find the convex hull of a set of points using the Shapely package.

Getting ready

For this recipe, we will need the NumPy package imported as np, the Matplotlib package imported as mpl, and...

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