MATLAB is an engineering tool and interactive environment for scientific and engineering computing, data analysis, visualization, and algorithm development, used by millions of engineers and scientists worldwide. With MATLAB you can explore and visualize your ideas and solve problems across various disciplines. MATLAB provides solutions in areas such as applied mathematics, machine learning, signal processing and communications, image processing and computer vision, financial analysis and modeling, control system design, robotics, and many others.
An example of the current use of the MATLAB system can be the development of active car safety systems, robotic probes of the space program, monitoring systems in healthcare, intelligent energy networks or 5G systems.
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What MATLAB offers
- A powerful programming language for numerical calculations and algorithm development
- An interactive environment with graphical tools for exploring, designing and solving problems
- Thousands of built-in functions from the fields of mathematics, statistics, optimization of specialized technical calculations and data manipulation
- Tools for mathematical modeling, simulation, data analysis and presentation, measurement and testing
- Graphical functions for data visualization and the ability to create your own graphs
- Development tools to improve code quality and maximize computing power
- Tools for creating applications with a graphical user interface
- Features for integrating MATLAB algorithms with external applications and languages such as C, Python, Java, .NET, and Microsoft® Excel®
- Parallel and distributed computing, GPU computing, working with large data
MATLAB offers more than 100 built-in function application libraries, including the simulation platform Simulink, which extend the use of the program in many application areas?
The combination of a powerful computing core and a development environment with interactive tools made MATLAB the language for engineering calculations.
MATLAB, Simulink and their add-ons find their users wherever it is necessary to quickly and successfully analyze, design, model, simulate and test, but above all to implement the achieved results in the minimum time in practical conditions of the real world - whether in the form of prototypes of new devices or in the form of control programs, innovations and optimizations in production or in the form of solving a complex theoretical problem.
Data
Data can be imported into MATLAB from files, other applications, or external devices. Once your data is in MATLAB, you can analyze it using built-in engineering and math functions, graphs, and visualizations.
Calculations and application development
The MATLAB environment language supports vector and matrix operations that are essential for solving engineering and scientific problems. Commands can be run one at a time and return results immediately. This will allow you to explore more approaches and arrive at the optimal solution. Scripts, functions or custom classes can be created in the MATLAB environment to automate and reuse your work. In this way, even complex programs and applications can be built. Development tools will facilitate the efficient implementation of your algorithms and the optimization of their computing power.
MATLAB provides not only elements of a traditional programming language, but also tools for designing your own graphical user interfaces.
Application libraries
Application libraries (toolboxes) extend the MATLAB environment by solving tasks from various areas, such as:
- mathematical calculations, statistics and optimization
- AI and data science
- design and analysis of control systems
- robotics and autonomous systems
- modeling of physical systems
- signal processing and communication
- image processing and computer vision
- measurement and testing
- financial analysis and modeling
- computational biology
Outputs
MATLAB provides features for sharing your work. Calculation code including results can be automatically published. Algorithms and applications can be distributed as stand-alone executable programs, as components for integration with other software environments, or as portable C source code generated from algorithms built on a subset of MATLAB.