LEARNING SCILAB
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LEARNING SCILAB

A PRACTICAL GUIDE

About the Book

It is the first book for anyone who wants to know the possibilities of this software. It serves beginners in programming as well as for those who already work with other platforms. As free and open-source software, Scilab is an excellent alternative for those working in scientific computing with proprietary software. This guide aims to present the fundamentals of the environment and the programming language, showing practical examples of its functionalities.

Book topics:

  • Preface
  • Introduction
  • Fundamentals of Scilab
  • Scilab Programming
  • Data Visualization
  • Advanced Topics
  • Applications

The development of the contents resulted from my experience during all academic activities in teaching computer programming for engineering courses, in particular. The topics covered do not exhaust the subject, but offer a factual basis capable of assisting the reader in software resources.

Enjoy!

About the Author

João L. R. Neto
João L. R. Neto

Ph.D. in Mechanical Engineering and Master in Electrical Engineering from the Pontifical Catholic University of Minas Gerais. Acting for 25 (twenty-five) years in teaching computer programming for courses in engineering and information systems. He is currently a distance learning teacher. My areas of interest are scientific programming using Artificial Intelligence, and Image Processing applied to production systems.

Table of Contents

  • Preface
    • Overview
    • Organization and Features
  • 1 - Introduction
    • 1.1 - Installation
    • 1.2 - Getting Started
  • 2 - Scilab basics
    • 2.1 - Objects, Data Types and Variables
    • 2.2 - Scilab Objects
    • 2.3 - Variables
    • 2.4 - Operators
    • 2.5 - Expressions
    • 2.6 - Scripts
  • 3 - Scilab Programming
    • 3.1 - Basic Input statements
    • 3.2 - Basic Output statements
    • 3.3 - Flow Control
  • 4 - Data Visualization
    • 4.1 - 2-D Plotting
    • 4.2 - 3-D Plotting
  • 5 – Advanced Topics
    • 5.1 – Building functions
    • 5.2 – Data Persistence
    • 5.3 - Importing data- Excel files
    • 5.4 - Digital Image Processing
  • Recommended Reading
  • The Author
  • Glossary
  • Bibliography
  • An Important Final Note
  • Causes Supported

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