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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

Optimization problems


Mathematical optimization problems arise in the field of linear programming, machine learning, resource allocation, production planning, and so on.

One well-known allocation problem is that of the travelling salesman who has to make a series of calls, and wishes to compute the optimal route between calls. The problem is not tractable but clearly can be solved exhaustively. However by clustering and tree pruning, the number of tests can be markedly reduced.

The generalized aim is to formulate as the minimization of some f(x) function for all values of x over a certain interval, subject to a set of gi(x).restrictions

The problems of local maxima are also included by redefining the domain of x. It is possible to identify three cases:

  • No solution exists.

  • Only a single minimum (or maximum) exists.

  • In this case, the problem is said to be convex and is relatively insensitive to the choice of starting value for x.

  • The function f(x) having multiple extreminals.

  • For this, the solution...

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Mastering Julia
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