Introduction to Scilab

A compact, hands-on learn-by-doing introduction to Scilab
Includes code examples
Apply them to your numerical computing or computational engineering applications

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

Autorentext
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.

Inhalt

1. Introduction to Scilab.- 2. Working with Scilab.- 3. Working with Arrays.- 4. Plotting.- 5. Data Through File Reading and Writing.- 6. Functions and Loops.- Numerical Computing Formalism.- 8. XCOS.