YAGTOM: Yet Another Guide TO Matlab

By Matthew Dunham, August 2008

Modified by Kevin Murphy, June 2009

This tutorial covers a number of topics on the Matlab programming language and environment, focussing on the features likely to be of use to people performing general purpose programming as well as data analysis/ statistics/ machine learning. In particular, it covers basic features as well as some recent additions to the language, such as the new (2007a) bsxfun, the new (2008a) object oriented programming interface, the new (2008b) containers.map hash table, etc. Many matlab programmers do not know about these useful features since they are buried deep inside the official documentation.

All the code for the examples in this tutorial is embedded directly into the document, allowing you to easily try it out for yourself as you work your way through the tutorial. Most of the code will work on all versions of matlab released since 2004 (version 7), although some examples require more recent versions.

We have grouped the topics by importance: 'basic' topics are essential to all users, 'intermediate' topics are useful to know about once you have gained some experience, and 'advanced' topics are for experts only and/or of limited interest.