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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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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 differential equations using JAX

JAX provides a set of tools for solving a wide array of problems. Solving differential equations—such as initial value problems described in the Solving simple differential equations numerically recipe—should be well within the capabilities of this library. The diffrax package provides various solvers for differential equations leveraging the power and convenience of JAX.

In the earlier recipe, we solved a relatively simple first-order ODE. In this recipe, we’re going to solve a second-order ODE to illustrate the technique. A second-order ODE is a differential equation that involves both the first and second derivatives of a function. To keep things simple, we’re going to solve a linear second-order ODE of the following form:

Here, is a function of to be found. In particular, we’re going to solve the following equation:

The initial conditions are and...

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