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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

Stochastic problems

Problems encountered so far are completely determined by the models, and will produce the same solutions repeatedly. Some models have terms that occur randomly, and these are called stochastics.

We have already seen one example earlier, that of the price a volatile stock. While the price increases roughly which the underlying price of money, fluctuations were considered to exist on a day-to-day process sampled from a Gaussian process.

Time series analysis is often used to reduce the effect of such fluctuations and reveal the underlying trends, but there are certain systems where the stochastics are paramount. Typical examples are models of queueing systems that might occur in service at banks, or checkouts in supermarkets. I will discuss a particular case of the bank teller later in this section.

Stochastic simulations

Simulations are often dealt with using a framework that attempts to hide the details of the coding as part of the model definition. This has similarities...

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Mastering Julia
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