MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.
MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook.
MATLAB toolboxes are professionally developed, rigorously tested, and fully documented.
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.
MScale 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.
Explore, model, and analyze data
Visualize and explore data
Create scripts, functions, and classes
Create desktop and web apps
Use MATLAB with Python, C/C++, Fortran, Java, and other languages
Connect MATLAB to hardware
Perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and clouds
Share your MATLAB programs
Run in cloud environments from MathWorks Cloud to public clouds including AWS and Azure
MATLAB code is production ready, so you can go directly to your cloud and enterprise systems, and integrate with data sources and business systems.
Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC.
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.
Design, test, and implement control systems
Train models, tune parameters, and deploy to production or the edge
Analyze signals and time-series data. Model, design, and simulate signal processing systems.
Data preparation, design, simulation, and deployment for deep neural networks
Develop and deploy condition monitoring and predictive maintenance software
Acquire, analyze, and explore data and automate tests
Acquire, process, and analyze images and video for algorithm development and system design
Convert your robotics ideas and concepts into autonomous systems that work seamlessly in real-world environments.
Create, design, test, and verify wireless communications systems
Simulink is a block diagram environment used to design systems with multidomain models, simulate before moving to hardware, and deploy without writing code.
To transform development of complex systems, market-leading companies adopt Model-Based Design by systematically using models throughout the entire process.
Explore a wide design space and test your systems early with multidomain modeling and simulation.
Model-based systems engineering (MBSE) is the application of models to support the full system lifecycle. Simulink bridges development from requirements and system architecture to detailed component design, implementation, and testing.
Agile software development helps teams deliver value to their customers faster using short iteration cycles with an emphasis on continuous integration and team collaboration. Simulation, automated testing, and code generation shorten the development cycle, enabling you to become a successful Agile team.
Use MATLAB and Simulink together to combine the power of textual and graphical programming in one environment.
Use MATLAB and Simulink together to combine the power of textual and graphical programming in one environment.
Get more out of MATLAB and Simulink by downloading the latest release.
Develop, manage, and execute tests for C and C++ code in embedded systems.
Model faults and analyze effects.
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