MATLAB combines a desktop environment tuned for
iterative analysis and design processes with a programming language
that expresses matrix and array mathematics directly.
MATLAB toolboxes are professionally developed, rigorously tested, and fully documented.
With Interactive Apps
MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work.
And the Ability to Scale
Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques.
MATLAB provides a number of features for documenting and sharing
your work. You can integrate your MATLAB code with other languages
and applications, and distribute your MATLAB algorithms and
Deploy to Enterprise Applications
MATLAB code is production ready, so you can go directly to your cloud and enterprise systems, and integrate with data sources and business systems.
Run on Embedded Devices
Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on embedded devices.
Integrate with Model-Based Design
MATLAB works with Simulink to support Model-Based Design, which is used for multidomain simulation, automatic code generation, and test and verification of embedded systems.
You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions) extend the MATLAB environment to solve particular classes of problems in these application areas.
Here are some key features of "MATLAB":
- High-level language for technical computing
- Development environment for managing code, files and data
- Interactive tools for iterative exploration, design, and problem solving
- Mathematical functions for linear algebra, statistics, Fourier analysis, filtering, optimization and numerical integration
- 2-D and 3-D graphics functions for visualizing data
- Tools for building custom graphical user interfaces
- Functions for integrating MATLAB based algorithms with external applications and languages, such as C, C++, Fortran, Java, COM and Microsoft Excel