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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
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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

Solving simple differential equations numerically

Differential equations arise in situations where a quantity evolves, usually over time, according to a given relationship. They are extremely common in engineering and physics, and appear quite naturally. One of the classic examples of a (very simple) differential equation is the law of cooling devised by Newton. The temperature of a body cools at a rate proportional to the current temperature. Mathematically, this means that we can write the derivative of the temperature of the body at time using the following differential equation:

Here, is a positive constant that determines the rate of cooling. This differential equation can be solved analytically by first separating the variables and then integrating and rearranging them. After performing this procedure, we obtain the general solution:

Here, is the initial temperature.

In this recipe, we will solve a simple ODE numerically...

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