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

R2017a (Version 9.2) - 8 Mar 2017
Desktop
    Live Editor: Edit a figure interactively including title, labels, legend, and other annotations
    Live Editor: Get suggestions for mistyped commands and variables
    Live Editor: Copy live script outputs to other applications
    Live Editor: Hover over variables to see their current value
    Add-On Explorer: Discover and install File Exchange submissions hosted on GitHub in Add-On Explorer
    MATLAB Online: Access MATLAB through your web browser

Language and Programming
    string Arrays: Create string arrays using double quotes
    missing Function: Assign missing values in core data types, including double, datetime, and string arrays
    issortedrows Function: Determine if matrix and table rows are sorted
    sort and sortrows Functions: Specify options for sorting complex numbers and placing missing elements
    issorted Function: Query sort order with monotonic, strictly monotonic, strictly ascending, and strictly descending options

Graphics
    heatmap Function: Visualize table or matrix data as a heatmap
    legend Function: Create legends that update when data is added to or removed from the axes
    Categorical Plotting: Use categorical data in common plotting functions and customize axes with categorical rulers
    histogram Function: Plot histograms of datetime and duration data

Data Import and Export
    datastore and tabularTextDatastore Functions: Automatically detect and return date and time data in text files​
    Import Tool: Import strings and categorical arrays interactively
    detectImportOptions Function: Control import properties of fixed-width text files
    RESTful web services: Support for PUT and DELETE HTTP methods in webread, webwrite, and websave​​​

Data Analysis
    tall Arrays: Operate on tall arrays with more functions, including ismember, sort, conv, and moving statistics functions
    isoutlier and filloutliers Functions: Detect and replace outliers in an array or table
    smoothdata Function: Smooth noisy data in an array or table with filtering or local regression
    summary Function: Calculate summary statistics and variable information in tables and timetables
    movmad and movprod Functions: Compute moving median absolute deviation and moving product of an array
    bounds Function: Simultaneously determine the smallest and largest elements of an array
    fillmissing Function: Replace missing data in an array or table using moving mean or moving median option

App Building
    App Designer: Learn to build apps using an interactive tutorial
    App Designer: Zoom and pan plots
    App Designer: Configure columns of a table to automatically fill the entire width of the table
    App Designer: Manage common design-time settings using the Preferences dialog box

Performance
    Execution Engine: Improved performance for setting MATLAB object properties
    save Function: Save MAT v7.3 files without compression for improved performance on some storage devices
    memoize Function: Cache results of a function to avoid rerunning when called with the same inputs
    Scripts: Improved performance of scripts with lower script overhead
    try, catch Block: Improved performance of try blocks with lower execution overhead

Hardware Support
    Arduino: Read from quadrature encoders
    Arduino: Wirelessly connect to Arduino MKR1000 board over WiFi
    iPhone and Android Sensors: Log sensor data locally on Android or iOS devices for later analysis​​​​​

Advanced Software Development
    Object Properties: Validate object property values by their type, size, shape, or other parameters​​
    Mocking Framework: Isolate a portion of a system to test by imitating behavior of dependent components
    Unit Testing Framework: Capture screenshots and figures generated during tests using TestReportPlugin​
    Unit Testing Framework: Control runtests function with debug, strict, and verbosity options​
    Performance Testing Framework: View statistics from test measurements with the sampleSummary method

Homepage: https://www.mathworks.com/products/matlab/

DOWNLOAD:

Mathworks_Matlab_R2017a_X64-CYGiSO.part1
Mathworks_Matlab_R2017a_X64-CYGiSO.part2
Mathworks_Matlab_R2017a_X64-CYGiSO.part3
Mathworks_Matlab_R2017a_X64-CYGiSO.part4