Book Image

Julia 1.0 Programming Cookbook

By : Bogumił Kamiński, Przemysław Szufel
Book Image

Julia 1.0 Programming Cookbook

By: Bogumił Kamiński, Przemysław Szufel

Overview of this book

Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data
Table of Contents (18 chapters)
Title Page
Copyright and Credits
About Packt

Optimization using JuMP

In this recipe, we will show how to define an optimization model with JuMP, and how to use the library with open source and commercial solvers. The recipe will be illustrated by solving a simple linear optimization model.


Getting ready

For this recipe, you need the following packages:JuMP.jl,Clp.jl , andCbc.jl.  These packages can be installed with the Julia package manager. In the Julia command line, press the] key and run the commands as follows:

(v1.0) pkg> add JuMP
(v1.0) pkg> add Clp
(v1.0) pkg> add Cbc

Please note that at the time of writing this book the  Cbc.jl package fails to compile on Windows and hence can only be installed on the Linux operating system.

Additionally, we will show how to use a commercial solver named Gurobi. Firstly, you need to obtain a Gurobi license (free for academic use) from the Gurobi website, and secondly you need to download and install Gurobi.

Once you obtain a license from Gurobi, you need to configure it on your machine...