The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics.
High-level language for scientific and engineering computing
Desktop environment tuned for iterative exploration, design, and problem-solving
Graphics for visualizing data and tools for creating custom plots
Apps for curve fitting, data classification, signal analysis, and many other domain-specific tasks
Add-on toolboxes for a wide range of engineering and scientific applications
Tools for building applications with custom user interfaces
Interfaces to C/C++, Java, .NET, Python, SQL, Hadoop, and Microsoft Excel
Royalty-free deployment options for sharing MATLAB programs with end users
Contact for pricing
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
MATLAB is the easiest and most productive software for engineers and scientists. Whether engineers are analyzing data, developing algorithms, or creating models, MATLAB provides an environment that invites exploration and discovery. MATLAB combines a high-level language with a desktop environment tuned for iterative engineering and scientific workflows. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. Linear algebra in MATLAB looks like linear algebra in a textbook. This makes it straightforward to capture the mathematics behind users ideas, which means the code is easier to write, easier to read and understand, and easier to maintain. MATLAB has strong roots in the numerical analysis research community, is known for its impeccable numeric. MATLAB does the hard work to ensure programmer’s code to runs quickly. Math operations are distributed across multiple cores on user’s computer, library calls are heavily optimized, and all code is just-in-time compiled. MATLAB enables engineers to write algorithms in parallel by changing for-loops into parallel for-loops or by changing standard arrays into GPU or distributed arrays. Run parallel algorithms in infinitely scalable public or private clouds with no code changes. The MATLAB language also provides features of traditional programming languages, including flow control, error handling, object-oriented programming, unit testing, and source control integration. MATLAB provides a desktop environment tuned for iterative engineering and scientific workflows. Integrated tools support simultaneous exploration of data and programs, letting engineers and scientists evaluate more ideas in less time. MATLAB supports 2D and 3D plotting functions for visualizing results .MATLAB supports languages including C/C++, Java, .NET, and Python and languages for embedded systems. MATLAB code can be easily deployed to Hadoop systems. MATLAB is also a key part of Model-Based Design, which is used for multi domain simulation, physical and discrete-event simulation, and verification and code generation.