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MATLAB is a mathematical programming language, developed by MATHWORKS, in 1984 by Jack Little, Steve Bangart and Cleve Moler. MATLAB is the short form for "MATrix LABoratory". MATLAB is a tool for numerical visualisation and computation.

The basic data element of MATLAB is a 'Matrix' and it is used to manipulate array-based data.

MATLAB is almost entirely written in C++ and the little remaining part is written in MATLAB itself and/or PERL.

You can even compile MATLAB programs and run it as 'stand-alone' applications. The MATLAB guide, plotting and desktop UI's (User Interfaces) are written in Java.

MATLAB is used in many fields like Defence, Aerospace, Finance, Biotechnology, Mathematical Modelling, Data Simulations, Algebra, Geometry, Statistical, 3D analysis, Marine Engineering, Oil & Gas drilling and Research & Development. We cannot compare with functionalities provided by MS Excel or SAS.

If you only have to acquire and analyse small quantities of data just one or two times, you can easily do that with regular spreadsheets like Excel (from Microsoft) or Calc (from OpenOffice). You can then analyse the data statistically using statistics software applications like SPSS or Statistica. You don't really have to use MATLAB for these small tasks.

If you have large quantities of data which have been collected by automated processes using computers or any other software applications, you can evaluate the same using MATLAB. Good examples of automated data collection are Psycho-physical experiments like EEG, FMRI, EYE Tracking, Galvanic Skin Resistance Measurements, Internet Questionnaires, log files etc. Large volumes of data present in these analyses are too big to be analysed using regular spreadsheets and the exporting it to SPSS or Statistica (Statistics software).

Recalculating entire data-sets with revised parameters is done more efficiently using MATLAB.

MATLAB also offers a wide range of graphics, statistical and other functions to analyse large volumes of data which are not available in the spreadsheets and statistical applications like SPSS and Statistica.

- Plot sin(x) on the interval [-pi,pi] using spacing 0.5, 0.1 and 0.01 between the points where you will sample the function. (This will change the resolution). Experiment with the hold on command.
- Attach labels to the axis of the previous plot and give a title to the graph.
- Plot 5 cos(x2+1) on [-2pi,2pi]. Note that the squaring operation will require you to use the dot . in order for the squaring operation to act on each element individually. However, the addition operation (+) automatically acts on elements individually.

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PLOTTING FUNCTIONS | MATLAB COMMAND |
---|---|

Label Horizontal Axis | xlabel('text') |

Label Vertical Axis | ylabel('text') |

Attaching a title to a plot | title('text') |

Change X & Y axes limits | axis([xmin xmax ymin ymax]) |

Continue plotting in same window | hold on |

Turn off continue plotting in same window | hold off |

MATLAB Function, Constant/Operation | MATLAB Command |
---|---|

+ (addition) | + |

-(subtraction | - |

* Multiplication | * |

/ Division | / |

|x| (absolute value of x) | abs(x) |

square root of x | sqrt(x) |

e^{x} | exp(x) |

ln x (natural log) | log(x) |

log10 x (base 10 log) | log10(x) |

sin x | sin(x) |

cos x | cos(x) |

tan x | tan(x) |

cot x | cot(x) |

arcsin x | asin(x) |

arccos x | acos(x) |

arctan x | atan(x) |

arccot x | acot(x) |

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