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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

Linear algebra


Linear algebra is the branch of mathematics concerning vector spaces and linear mappings between such spaces. It includes the study of lines, planes, and subspaces, but is also concerned with properties common to all vector spaces.

In Julia, basic linear algebra is built into the standard library. Much of this is achieved using the Basic Linear Algebra System (OpenBLAS) and Linear Algebra PACKage (LAPACK) libraries that ship as shared libraries in binary distros or are built when installing the system from source.

We will begin our study by looking at sets of linear equations and the application of matrix methods to their solutions.

Simultaneous equations

A set of n equations in n unknown quantities will have a unique solution, provided that one of the equations is not a multiple of another. In the latter case, the system is term degenerate since effectively we only have n-1 equations.

Clearly n is a positive number, with n >= 2, since n = 1 is trivial.

The solution of such...

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Mastering Julia
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