MatLab R2017a v126.96.36.199806 [Size: 9.61 GB] ... MATLAB® is the easiest and most productive software for engineers and scientists. Whether you’re analyzing data, developing algorithms, or creating models, MATLAB provides an environment that invites exploration and discovery. It combines a high-level language with a desktop environment tuned for iterative engineering and scientific workflows. Key Features: 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. MatLab Speaks Maths: The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. MATLAB supports both numeric and symbolic calculations. Linear algebra in MATLAB looks like linear algebra in a textbook; symbolic calculations look like the equations you write on paper. This makes it straightforward to capture the mathematics behind your ideas, which means your code is easier to write, easier to read and understand, and easier to maintain. You can trust the results of your computations. MATLAB, which has strong roots in the numerical analysis research community, is known for its impeccable numerics. A MathWorks team of 350 engineers continuously verifies quality by running millions of tests on the MATLAB code base every day. MATLAB does the hard work to ensure your code runs quickly. Math operations are distributed across multiple cores on your computer, library calls are heavily optimized, and all code is just-in-time compiled. You can run your 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.