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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

Solving systems of differential equations

Differential equations sometimes occur in systems consisting of two or more interlinked differential equations. A classical example is a simple model of the populations of competing species. This is a simple model of competing species labeled P (the prey)and W (the predators) given by the following equations:

The first equation dictates the growth of the prey species P, which, without any predators, would be exponential growth. The second equation dictates the growth of the predator species W, which, without any prey, would be exponential decay. Of course, these two equations are coupled; each population change depends on both populations. The predators consume the prey at a rate proportional to the product of their two populations, and the predators grow at a rate proportional to the relative abundance of prey (again the product of the two populations).

In this recipe, we will will analyze...

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