MATLAB

Matlab introduction

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language. Developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python.

Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and Model-Based Design for dynamic and embedded systems.

􀁺 Matlab is a program for doing numerical
computation. It was originally designed for
solving linear algebra type problems using
matrices. It’s name is derived from MATrix
LABoratory.

􀁺 Matlab is also a programming language that
currently is widely used as a platform for
developing tools for Machine Learning

Why it is useful for prototyping AI projects:
􀁺 large toolbox of numeric/image library functions
􀁺 very useful for displaying, visualizing data
􀁺 high-level: focus on algorithm structure, not on lowlevel
details

􀁺 allows quick prototype development of algorithms

Some other aspects of Matlab
􀁺 Matlab is an interpreter -> not as fast as compiled
code
􀁺 Typically quite fast for an interpreted language
􀁺 Often used early in development -> can then convert
to C (e.g.,) for speed
􀁺 Can be linked to C/C++, JAVA, SQL, etc
􀁺 Commercial product, but widely used in industry
and academia

􀁺 Many algorithms and toolboxes freely available
 Arslan Ali Raza
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