MATLAB

MATLAB, MATrix and LABoratory abbreviations and is a high-level programming language specifically developed for numerical computations. Its matrix-based structure has enabled widespread use in scientific calculations and engineering applications. Developed by MathWorks, MATLAB is extensively used in engineering, science, economics and finance among other fields.

MATLAB was initially developed in the late 1970s by Cleve Moler. Moler designed the language to teach numerical linear algebra to university students without requiring them to use Fortran. Originally used solely in university education, this tool was expanded into a more comprehensive software with contributions from John Little and Steve Bangert, and in 1984 it was introduced as a commercial product by MathWorks.

MATLAB has a robust infrastructure particularly for matrix operations, linear algebra, statistical analysis and graphical visualization. As a programming language, it is high-level and interpreted. It also includes built-in capabilities for designing graphical user interfaces (GUIs), file handling, data analysis, image processing, machine learning and many other capabilities.

The main features of MATLAB include:

• Matrix-based computation structure
• Built-in functions and libraries
• Advanced graphics and visualization tools
• System modeling and simulation capability with Simulink
• Application diversity through toolbox support
• Integration with languages such as Python, C/C++ and Java

MATLAB is used across a wide range of disciplines. Its primary application areas include:

• Electrical and Electronic Engineering: Signal processing, circuit simulation
• Mechanical Engineering: Thermodynamic analysis, system dynamics
• Civil Engineering: Structural analysis, static solutions
• Biomedical Engineering: Bio-signal processing, medical image processing
• Economics and Finance: Time series analysis, portfolio optimization
• Artificial Intelligence: Machine learning, deep learning algorithms
• Robotics: Kinematic analysis, control systems
• Image Processing: Image filtering, segmentation, classification

^{MATLAB Interface - (Image: Yağmur Nur Küçükarslan)}

^{Image Processing with MATLAB (Source:} YouTube⁾

^{Signal Processing with MATLAB (Source:} Figes⁾

Used alongside MATLAB, Simulink provides a graphical environment for simulating multi-domain dynamic systems. This environment, which models systems using block diagrams, is widely used in control systems, embedded systems, signal processing and many other fields.

MATLAB includes specialized toolboxes (toolkits) tailored to needs in various fields. For example:

• Image Processing Toolbox – For image processing applications
• Deep Learning Toolbox – For deep learning models
• Control System Toolbox – For control system analysis
• Statistics and Machine Learning Toolbox – For data analysis and machine learning

These toolboxes provide users with pre-built functions that simplify complex tasks.

Despite its powerful structure, MATLAB can be costly for some users due to licensing fees. As a result, open-source alternatives such as GNU Octave, Scilab, and Python (NumPy, SciPy, Matplotlib) are also commonly used. In particular, Python has emerged as a strong alternative to MATLAB due to its open source nature and extensive community support.

MATLAB is widely used in engineering and science departments at universities around the world. In industry, it plays a key role in R&D and product development across sectors such as automotive, defense industry, aerospace, finance and biomedical.

MATLAB is a software that provides users with various tools for computation, library access and graphical interfaces. Its simulation capabilities and data processing and analysis features make it widely used in scientific research and certain industrial applications.