MATLAB 8.6 - High-level language and development environment. (Demo)

MATLAB is a high-level language and interactive environment that enables you to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran.

Note: The quoted download size is an installer; the download of the application is 684 MB.

Desktop

• Add-On Explorer: Add capabilities to MATLAB, including community-authored and MathWorks toolboxes, apps, functions, models, and hardware support
• Documentation: Find information faster with redesigned Help navigation and browser-style keyboard shortcuts
• Tab Completion: Complete commands with corrected capitalization
• Command Suggestions: Get suggested corrections for mistyped function names when calling help command

Language and Programming

• findgroups and splitapply Functions: Split data into groups and apply functions to each group of data
• NaT Function: Create array of Not-a-Time values
• timezones Function: Display list of time zone names
• help Command: Specify a variable as input to the help command instead of specifying the variable class name

Advanced Software Development

• MATLAB Interface to Python: Clear Python class definitions with clear classes command, useful when reloading revised Python classes
• MATLAB Interface to Python: Pass a handle to a Python function to other Python functions called from MATLAB
• MATLAB Engine for Python: Call MATLAB functions and objects from Python by connecting to a running session of MATLAB
• MEX Compiler Support: Compile MEX files with freely available MinGW-w64 compiler on 64-bit Windows
• Unit Testing Framework: Improve continuous integration workflows with diagnostics from the TAP plugin and a JUnit-style XML plugin
• Unit Testing Framework: Customize the test runner with plugins that immediately report finalized results and perform system-wide qualifications
• Unit Testing Framework: Run tests in parallel when available using the runtests function with the UseParallel option
• Unit Testing Framework: Detect and prevent warnings issued by tests using the new FailOnWarningsPlugin

Mathematics

• graph and digraph Classes: Create, analyze, and visualize graphs and networks
• histcounts2 Function: Bin bivariate data
• deg2rad and rad2deg Functions: Convert between radians and degrees
• datetime Arrays: Interpolate dates and times using interp1 function
• duration Arrays: Perform computations on durations using interp1, eps, cummax, cummin, cumsum, mod, and rem functions

Data Import and Export

• Excel Spreadsheets: Read and write to the same spreadsheet repeatedly with improved performance of xlsread, xlswrite, readtable, and writetable functions
• datastore Function: Import data from image collections that are too large to fit in memory as an ImageDatastore
• datastore Function: Import data from text files with support for additional character encoding schemes with TabularTextDatastore
• VideoReader Object: Read streams of data more quickly from video files on Mac

Graphics

• Graphics Display: Leverage DPI-aware MATLAB graphics for Apple Retina displays and high-resolution displays on Windows
• Axes Object: Set the location of each axis in a plot to cross at the origin
• Numeric Ruler Object: Customize tick format, exponent, and text style to control the appearance of an individual axis in a plot
• histogram2 Function: Plot bivariate histograms with control over bins, normalization, and display
• MATLAB Charts: Use transparency in bar, scatter, and area charts

GUI Building

• UI Display: Create DPI-aware UIs for Apple Retina displays and high-resolution displays on Windows

Performance

• MATLAB Execution Engine: Run programs faster with redesigned architecture
• table Data Type: Access data with improved performance when using dot-parentheses
• Categorical Arrays: Create a larger number of categories, with improved memory efficiency and performance

Hardware Support

• Raspberry Pi 2 Model B: Acquire sensor and image data from Raspberry Pi 2 boards using the MATLAB Support Package for Raspberry Pi Hardware
• BeagleBone Black: Acquire sensor and image data from BeagleBone Black boards using the MATLAB Support Package for BeagleBone Black Hardware
• iOS Sensors: Acquire sensor data from Apple iOS mobile devices using the MATLAB Support Package for Apple iOS Sensors

• OS X 10.9.5 or later