Mathematical programming for engineers and business analysts

MATLAB is an integrated technical computing environment that combines numeric computation, advanced graphics and visualisation, and a high-level programming language.

Whatever the objective - an algorithm, analysis, graph, report, or simulation - MATLAB gets you there. The flexible, interactive MATLAB language lets engineers, scientists and business analysts express their technical ideas simply. The extensive and powerful numeric computing methods and graphics allows testing and exploring alternative ideas easily, while the integrated development environment makes it easy to produce fast, practical results.

MATLAB is used in a wide variety of areas in industry including process industries, automotive, finance and economics, biotech/pharmaceutical and education. The open architecture makes it easy to use MATLAB and companion products to explore data and create custom tools that provide early insights and competitive advantages.

MATLAB 7 features a new desktop front end that provides quick access to your MATLAB code, variables, data files, graphics, demos, and online help. In addition, multiple new interactive tools provide easy importing, plotting, and exporting of MATLAB graphics. Also included in MATLAB 7 are major enhancements for mathematical computing, accessing external data and code, and GUI development.

See the slide show link above for a PowerPoint show that will give you a brief introduction to the user interface.

MATLAB also features a family of application-specific solutions called toolboxes. Very important to most users of MATLAB, toolboxes are comprehensive collections of MATLAB functions (M-files) that extend the MATLAB environment in order to solve particular classes of problems. Researched and developed by experts in their fields, toolboxes let you learn, apply, and compare best-of-class techniques, allowing you to evaluate different approaches without writing the code.

Probably the most important feature of MATLAB is its easy extensibility. You can also link to external software and data from MATLAB. MATLAB code and data formats are platform independent, so sharing your ideas and designs across PC, Unix and Macintosh platforms is seamless.

Toolboxes for Application Areas:

1). Technical Computing: Mathematical computation, analysis, visualization, and algorithm development

2). Control Design: Model-Based Design of control systems, including simulation, rapid prototyping, and code generation for embedded systems

3). Signal Processing and Communications: Model-Based Design of signal processing and communication systems, including simulation, code generation, and verification

4). Image Processing: Image acquisition, image analysis and enhancement, and image processing algorithm development

5). Test & Measurement: Hardware connectivity and data analysis for test and measurement applications

6). Financial Modeling and Analysis: Analysis, simulation, and deployment for financial applications

Note: Use the back button in your browser to come back to this page.