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Synopsis
Octave is open source equivalent for basic MATLAB package. Its usage in scientific and numerical computation is gaining popularity day by day. It can run MATLAB files without modifications. Present book gives introduction to Octave for a new-user. Starting from very basic, it goes on to explain array based computing, plotting and working with files. The book is useful for students, researchers and students who are looking for a open source software for numerical computation. It is written in a very concise format where learn-by-doing methodology is adopted so that new user can start developing quickly. CHAPTERS: 1 - Introduction to octave, 2- Interactive Octave Sessions, 3- Working with Arrays, 4-Plotting, 5 - Data through file reading and writing, 6- Functions and loops, 7- Numerical computing formalism
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From the Back Cover
Familiarize yourself with Octave 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 Octave, which can run MATLAB files without modification. Introduction to Octave 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 Octave arrays, functions, and loops
- Use Octave’s plotting functions for data visualization
- Solve numerical computing and computational engineering problems with Octave
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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