Machine Learning Train models, fine-tune parameters, and deploy machine learning solutions for production or edge devices. Space Systems Develop software for space systems, including control, communication, and data analysis. Image Processing and Computer Vision Acquire, process, and analyze images and video for algorithm development and system design. Deep Learning Prepare data, design neural networks, simulate models, and deploy deep learning solutions. Use MATLAB for: Control Systems Design, test, and implement control systems for various applications. Royalty-free deployment options for sharing programs with end-users.NET, Python, SQL, Hadoop, and Microsoft Excel Tools for building applications with custom user interfaces.Add-on toolboxes for a wide range of engineering and scientific applications.

Apps for curve fitting, data classification, signal analysis, and many other domain-specific tasks.

Graphics for visualizing data and tools for creating custom plots.

Desktop environment tuned for iterative exploration, design, and problem-solving.

High-level language for scientific and engineering computing.

MATLAB in the Cloud: Users can run MATLAB in cloud environments, including MathWorks Cloud, as well as popular public clouds such as AWS (Amazon Web Services) and Azure (Microsoft Azure), providing flexibility and scalability for computation and collaboration. Web and Desktop Deployment: The program allows users to share their MATLAB programs easily with others by creating standalone executables, web applications, or integrating with other software systems. Parallel Computing: The app enables users to perform large-scale computations and parallelize simulations using multicore desktops, GPUs (Graphics Processing Units), clusters, and cloud computing resources. Hardware Integration: It provides capabilities to connect and communicate with hardware devices, allowing users to interface with sensors, actuators, and other external devices. External Language Interfaces: The software seamlessly integrates with other programming languages such as Python, C/C++, Fortran, Java, and more, enabling users to leverage their existing code and libraries. App Building: It allows users to create desktop and web applications with a user-friendly interface for interactive data analysis and visualization. Programming: Users can write scripts, functions, and classes in the app, enabling them to develop complex algorithms and applications. Graphics: It offers features to visualize and explore data, allowing users to create informative and visually appealing plots and charts. Capabilities Data Analysis: It provides tools to explore, model, and analyze data efficiently. By leveraging Simulink's capabilities, you can streamline your development process and ensure the reliability of your embedded systems. This approach facilitates multidomain simulation, automatic code generation, and comprehensive testing and verification of embedded systems. Integrate with Model-Based Design It seamlessly integrates with Simulink to support Model-Based Design. This enables you to run your algorithms efficiently on embedded processors or FPGA/ASIC platforms, extending the reach of your applications. Run on Embedded Devices Convert your algorithms to C/C++, HDL, or CUDA code automatically. It can easily connect with data sources and business systems, ensuring smooth integration. Bring your ideas from research to production Deploy to Enterprise Applications MATLAB code is ready for production, allowing you to seamlessly integrate it into your cloud and enterprise systems. It works with Simulink to support Model-Based Design, which is used for multidomain simulation, automatic code generation, and test and verification of embedded systems.

Automatically convert algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC.

MATLAB code is production-ready, so you can go directly to your cloud and enterprise systems, and integrate with data sources and business systems. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. Iterate until you’ve got the results you want, then automatically generate a MAT LAB for Windows program to reproduce or automate your work. The app let you see how different algorithms work with your data. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. Whether you’re analyzing data, developing algorithms, or creating models, MATLAB is designed for the way you think and the work you do. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB for PC combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly.

Matlab tools