© 2017

Introduction to MATLAB for Engineers and Scientists

Solutions for Numerical Computation and Modeling


  • A quick practical introduction to learning the MATLAB programming language

  • Includes sample code examples along the way

  • Also includes a case study sample to conclude the book


Table of contents

  1. Front Matter
    Pages i-xv
  2. Sandeep Nagar
    Pages 1-19
  3. Sandeep Nagar
    Pages 21-91
  4. Sandeep Nagar
    Pages 93-116
  5. Sandeep Nagar
    Pages 117-140
  6. Sandeep Nagar
    Pages 141-152
  7. Sandeep Nagar
    Pages 153-169
  8. Sandeep Nagar
    Pages 171-197
  9. Sandeep Nagar
    Pages 199-208
  10. Back Matter
    Pages 209-213

About this book


Familiarize yourself with MATLAB 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, numerical computation formalism, and the primary concepts of approximations. Introduction to MATLAB 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. 

You will:
  • Apply sample code to your engineering or science problems
  • Work with MATLAB arrays, functions, and loops 
  • Use MATLAB’s plotting functions for data visualization
  • Solve numerical computing and computational engineering problems with a MATLAB case study


MATLAB intro tutorial practical workbook learn programming math engineer science code software source

Authors and affiliations

  1. 1.PlaceholderUSA

About the authors

Sandeep Nagar, Ph.D. teaches and consults on the use of Python 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.

Bibliographic information

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