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Mastering Julia

You're reading from   Mastering Julia Enhance your analytical and programming skills for data modeling and processing with Julia

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805129790
Length 506 pages
Edition 2nd Edition
Languages
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Author (1):
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Malcolm Sherrington Malcolm Sherrington
Author Profile Icon Malcolm Sherrington
Malcolm Sherrington
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Table of Contents (14) Chapters Close

Preface 1. Chapter 1: The Julia Environment 2. Chapter 2: Developing in Julia FREE CHAPTER 3. Chapter 3: The Julia Type System 4. Chapter 4: The Three Ms 5. Chapter 5: Interoperability 6. Chapter 6: Working with Data 7. Chapter 7: Scientific Programming 8. Chapter 8: Visualization 9. Chapter 9: Database Access 10. Chapter 10: Networks and Multitasking 11. Chapter 11: Julia’s Back Pages 12. Index 13. Other Books You May Enjoy

Calculus

The Calculus package provides tools for working with the basic calculus operations of differentiation and integration. It can be used to produce approximate derivatives by several forms of finite differencing or to produce exact derivatives using symbolic differentiation (SD).

Differentiation

There are a few basic approaches to using the package, some of which we will examine in this section.

We use finite differencing to evaluate a derivative at a specific point and higher-order functions to create new functions that evaluate derivatives’ SD to produce exact derivatives for simple functions:

julia> using Calculus
julia> f(x)=sin(x)*cos(x);
julia> derivative(f,1.0) -0.4161468365471423
# Check since d(f) => cos*cos - sin*sin
julia> cos(1.0)^2 - sin(1.0)^2 -0.4161468365471423
# Possible to curry the function
julia> df = derivative(f)
julia> df(1.0)
-0.4161468365471423
# Also defined is the 2nd derivative
julia> d2f = second_derivative...
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