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  • Book Overview & Buying Mastering Julia
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Mastering Julia

Mastering Julia

By : Malcolm Sherrington
4.4 (7)
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Mastering Julia

Mastering Julia

4.4 (7)
By: Malcolm Sherrington

Overview of this book

Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.
Table of Contents (12 chapters)
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11
Index

Differential equations


Differential equations are those that have terms that involve the rates of change of variates as well as the variates themselves. They arise naturally in a number of fields, notably dynamics. When the changes are with respect to one dependent variable, most often the systems are called ordinary differential equations. If more than a single dependent variable is involved, then they are termed partial differential equations.

Julia has a number of packages that aid the calculation of differentials of functions and to solve systems of differential equations. We will look at a few aspects of these in the next section.

The solution of ordinary differential equations

Julia supports the solution of ordinary differential equations through a couple of packages such as ODE and Sundials. ODE consists of routines written solely in Julia whereas Sundials is a wrapper package around a shared library.

We will look at the ODE package first.

ODE exports a set of adaptive solvers; adaptive...

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Mastering Julia
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