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Introduction to Scilab

For Engineers and Scientists

  • Book
  • © 2017

Overview

Authors:
  1. Sandeep Nagar

    1. New York, USA

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  • Learn Scilab through practical, hands-on examples
  • Master Scilab arrays, functions, and loops
  • Apply sample code to your numerical computing or computational engineering applications

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Introduction to Scilab

    • Sandeep Nagar
    Pages 1-14

  3. Working with Scilab

    • Sandeep Nagar
    Pages 15-54

  4. Working with Arrays

    • Sandeep Nagar
    Pages 55-91

  5. Plotting

    • Sandeep Nagar
    Pages 93-132

  6. Data Through File Reading and Writing

    • Sandeep Nagar
    Pages 133-144

  7. Functions and Loops

    • Sandeep Nagar
    Pages 145-155

  8. Numerical Computing Formalism

    • Sandeep Nagar
    Pages 157-166

  9. XCOS

    • Sandeep Nagar
    Pages 167-189

  10. Back Matter

    Pages 191-193
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Keywords

About this book

Familiarize yourself with Scilab using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Scilab. Introduction to Scilab is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.


In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. After reading this book, you will come away with sample code that can be re-purposed and applied to your own projects using Scilab.





What You'll Learn

  • Apply sample code to your engineering or science problems
  • Work with Scilab arrays, functions, and loops 
  • Use Scilab’s plotting functions for data visualization
  • Solve numerical computing and computational engineering problems with Scilab



Who This Book Is For


Engineers, scientists, researchers, and students who are new to Scilab. Some prior programming experience would be helpful but not required.   




Authors and Affiliations

  • New York, USA

    Sandeep Nagar

About the author

Sandeep Nagar, Ph.D. teaches and consults on the use of Octave, MATLAB and other open source programming languages for for data science/analysis and numerical computing for engineering and science applications. In addition to teaching at universities, he frequently gives workshops covering open source software.  Sandeep has a Ph.D. in Material Science from KTH, Sweden in May 2012. Prior to that degree, he obtained a M.Sc. in Physics with specialization in Electronics and Radio Physics and a B.Sc.B.Ed degrees in India.


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