Free Download Matlab 2019b Full (Windows/Linux/Mac)

Matlab 2019b (MATLAB 9.7, R2019b) introduced on 17 Sep 2019. The release contains new products in support of robotics, new training resources for event-based modeling, and updates and bug fixes across the MATLAB and Simulink product families.

What’s new in Matlab 2019b

Environment

- Live Editor Tasks: Add interactive tasks to live scripts to explore parameters and automatically generate code
- Live Editor Output: Animate plots to show changes in data over time
- Live Editor Output: Adjust the width of columns in tables
- Live Editor Output: Scroll through and copy data in arrays such as cell arrays, object arrays, and struct arrays
- Live Editor Export: Customize figure format as well as document paper size, orientation, and margins when exporting
- Live Editor Code: Duplicate one or more lines of code
- Live Editor Code: Suppress Code Analyzer warning messages
- Live Editor Debugging: Set breakpoints for anonymous functions
- Live Editor Internationalization: Add non-English language such as Chinese, Japanese, and Korean characters on Windows and macOS Platforms
- Add-On Manager: Update MATLAB and other installed add-ons
- Add-On Manager: Programmatically manage add-ons by name
- Settings: Create persistent settings for custom apps, toolboxes, and across MATLAB sessions
- MATLAB Drive: Share folders and collaborate with others
Functionality being removed or changed

Language and Programming

- size Function: Find lengths of multiple array dimensions at a time
- matches Function: Determine if input strings are equal
- Hexadecimal and Binary Numbers: Specify numbers using hexadecimal and binary literals
- Indexing: Use dot indexing into function calls
- System object authoring improvements: Property validation support and simplified class inheritance
- Function Input Arguments: Declare function input arguments to restrict values
- namedargs2cell Function: Convert structure containing name-value pairs to cell array
- delete, dir, isfile, isfolder, and what Functions: Access web-based storage services like Amazon Web Services and Azure Blob Storage
- Suggested Corrections: Correct errors with two new classes
- error Function: Provide suggested fix for uncaught exception
Functionality being removed or changed

Data Analysis

- Live Editor Tasks: Interactively preprocess data and generate code
- groupfilter Function: Filter data in a table, timetable, or matrix by group
- datetime Data Type: Detect formats with fractional seconds when converting text that represents dates and times
- table and timetable Data Types: Variable names can have any characters, including spaces and non-ASCII characters
- tall Arrays: Operate on tall arrays with more functions, including setdiff, xcorr, and outerjoin
- tall Arrays: Avoid running out of memory due to temporary copies of data

Data Import and Export

- detectImportOptions Function: Specify the type of import options for delimited or fixed-width text files
- table and timetable Data Types: Read and write tabular data that has variable names containing any characters, including spaces and non-ASCII characters
- sheetnames Function: Get names of worksheets from spreadsheet file
- VideoReader Object: Read frames in videos using frame index or time
- VideoReader Object: Improved performance in generated code with row-major layout
- Import Tool: Generate simpler code when importing from fixed-width text files
- save Function: Save workspace variables to a MAT-file version 7 without compression
- xmlread Function: Prevent reading of XML files that contain DOCTYPE declarations
- imread function: Supports reading specified images from PGM, PBM, or PPM file formats
- Scientific File Format Libraries: CFITSIO Library upgraded to version 3.450
- Scientific File Format Libraries: LibTIFF Library upgraded to version 4.0.10
- RESTful Functions: Support for digest authentication
- tcpclient, read, and write Functions: Generate C and C++ code
- Bluetooth Low Energy Interface: Support for scanning and interacting with peripheral devices
- Serial Port Devices: New functions and properties
- Functionality being removed or changed

Mathematics

- makima Function: Perform modified Akima cubic Hermite interpolation

Graphics

- Chart Container Class: Develop your own class of charts
- tiledlayout and nexttile Functions: Create configurable layouts of plots in a figure
- colororder Function: Control the colors in plots
- Bar Charts: Create bar charts with improvements for stacking and locating the tips of bars
- Data Tips: Create and customize data tips
- dataTipInteraction Function: Pin data tips at cursor location
- Axes Toolbar: Save or copy contents of axes as image
- parallelplot Function: Zoom, pan, and rearrange coordinates interactively
- Property Inspector: Update axis tick values and labels using clipboard data
- Image Interpolation: Select an interpolation method for displaying images
- legend Function: Create unlimited legend entries and specify categorical arrays
- pcolor Function: Specify categorical, datetime, and duration data
- Geographic Plots: Plot data on high-zoom-level basemaps
- Geographic Plots: Create plots with improved basemap appearance
- Geographic Axes: Display animations using comet or animatedline
- Geographic Bubble Charts: Create charts with improved layout
- Functionality being removed or changed

App Building

- uistyle Function: Create styles for rows, columns, or cells in a table UI component
- uigridlayout Function: Configure grid rows and columns to adjust automatically to fit components
- uitable Function: Sort table UI components interactively when using logical, numeric, string, or cell arrays
- uihtml Function: Embed HTML, JavaScript, or CSS content in apps and on the App Designer canvas
- App Designer: Convert components in a UI figure or container from pixel-based positioning to a grid layout manager
- App Designer: Convert an existing app into an auto-reflowing app
- App Designer: Suppress Code Analyzer warning messages
- App Designer: Open App Designer from the MATLAB toolstrip
- App Testing Framework: Perform gestures on polar axes and UI images
- Functionality being removed or changed

Performance

- table Data Type Indexing: Improved performance when assigning elements by subscripting into large table variables
- datetime, duration, and calendarDuration Data Type Indexing: Improved performance when assigning elements by subscripting into large arrays
- datetime Data Type Indexing: Improved performance when referring or assigning to date and time components of datetime arrays
- uitable Function: Faster performance when data type is numeric, logical, or a cell array of character vectors
- unzip and gunzip Functions: Improved performance when extracting contents of zip files and GNU zip files

Software Development Tools

- Unit Testing Framework: Run tests in parallel with your custom plugins
- Unit Testing Framework: Validate count in string constraints
- Performance Testing Framework: Visually compare two TimeResult arrays
- App Testing Framework: Perform gestures on polar axes and images
- Projects: Delete project definition files
- Compare Git Branches: Show differences and save copies
Functionality being removed or changed

External Language Interfaces

- C++ Interface: Options for publishing C++ interface library
- C++ Interface: nullptr supported as output argument
- C++ Interface: Read-only (const) object support
- Java Interface: JRE version 1.8.0_202 support
- Out-of-Process Execution of C++ MEX Functions: Customize environment variables
- HTTP Web Services: Server authentication support for NTLM and Kerberos protocols
- HTTP Web Services: Timeout options
- Python Interface: Execute Python functions out of process
- Python Interface and Engine: Version 3.5 support discontinued
- Compiler support changed for building MEX files and standalone MATLAB engine and MAT-file applications
- Functionality being removed or changed

System Requirements - Release 2019b

Windows

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	RAM
- Windows 10 - Windows 7 Service Pack 1 - Windows Server 2019 - Windows Server 2016	- Minimum: 4 GB - Recommended: 8 GB - For Polyspace, 4 GB per core is recommended
Processors	Graphics
- Minimum: Any Intel or AMD x86-64 processor - Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	- No specific graphics card is required. - Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. - GPU acceleration using the Parallel Computing Toolbox requires a GPU that supports CUDA 3 or newer. See Wikipedia to determine what version of CUDA your GPU supports.
Disk
- Minimum: 3.1 GB of HDD space for MATLAB only, 5-8 GB for a typical installation - Recommended: An SSD is recommended - A full installation of all MathWorks products may take up to 31 GB of disk space

Linux

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	RAM
- Ubuntu 19.04 - Ubuntu 18.04 LTS - Ubuntu 16.04 LTS - Debian 10 - Debian 9 - Red Hat Enterprise Linux 8 - Red Hat Enterprise Linux 7 (minimum 7.3) - Red Hat Enterprise Linux 6 (minimum 6.7) - SUSE Linux Enterprise Desktop 12 (minimum SP2) - SUSE Linux Enterprise Desktop 15 - SUSE Linux Enterprise Server 12 (minimum SP2) - SUSE Linux Enterprise Server 15 Note: - Ubuntu 14.04 LTS is no longer supported. - Debian 10 is supported as of R2019b. - Red Hat Enterprise Linux 8 is supported as of R2019b	- Minimum: 4 GB - Recommended: 8 GB - For Polyspace, 4 GB per core is recommended
Processors	Graphics
- Minimum: Any Intel or AMD x86-64 processor - Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	- No specific graphics card is required. - Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. - Use of vendor-supplied proprietary drivers is strongly recommended. - GPU acceleration using the Parallel Computing Toolbox requires a GPU that supports CUDA 3 or newer. See Wikipedia to determine what version of CUDA your GPU supports.
Disk
- Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation - Recommended: An SSD is recommended - A full installation of all MathWorks products may take up to 28 GB of disk space

Mac

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	RAM
- macOS Mojave (10.14) - macOS High Sierra (10.13.6) Note: - macOS Mojave (10.12) is no longer supported. - On macOS High Sierra, version 10.13.6 is required.	- Minimum: 4 GB - Recommended: 8 GB - For Polyspace, 4 GB per core is recommended
Processors	Graphics
- Minimum: Any Intel or AMD x86-64 processor - Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	- No specific graphics card is required. - Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. - GPU acceleration using the Parallel Computing Toolbox requires a GPU that supports CUDA 3 or newer. See Wikipedia to determine what version of CUDA your GPU supports.
Disk
- Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation - Recommended: An SSD is recommended - A full installation of all MathWorks products may take up to 28 GB of disk space

Link Free Download Matlab 2019b (Windows/Linux/Mac)

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Free Download Matlab 2019a Full (Windows/Linux/Mac)

Matlab 2019a (MATLAB 9.6, R2019a) introduced on 26 Mar 2019. The release contains new products and important enhancements for artificial intelligence (AI), signal processing, and static analysis, along with new capabilities and bug fixes across all product families.

What's new in Matlab 2019a

Environment

• Live Editor Controls: Add check boxes, edit fields, and buttons to set variable values and run the live script
• Live Editor Controls: Specify what code to run when a control value changes
• Live Editor Controls: Hide code when sharing and exporting live scripts with interactive controls
• Live Editor Export: Save live scripts and functions as Microsoft Word documents
• Live Editor Output: Enable animations in plots to show changes in data over time
• Live Editor Output: Interactively clean categorical data and filter datetime and duration variables in table output
• Live Editor Output: Interactively change the data type of variables in table output
• Live Editor Functions: Automatically convert selected code to a function
• MATLAB Online: Share folders and collaborate with others
• Projects: Organize, manage, and share your work using projects
• MATLAB Startup: Execute MATLAB script or function non-interactively
• Toolbox Packaging: Install required add-ons with custom toolboxes

Language and Programming

• append Function: Combine strings
• MException class: Provide a suggested fix for an uncaught exception
• Functionality being removed or changed

Data Analysis

• xcorr and xcov Functions: Compute cross-correlation and cross-covariance in core MATLAB
• detrend Function: Remove piecewise polynomial trends, set continuity requirements, and specify sample points
• groupcounts Function: Count the number of group elements for arrays, tables, and timetables
• grouptransform Function: Transform array data by group
• filloutliers, isoutlier, and rmoutliers Functions: Detect outliers using percentiles
• fillmissing and filloutliers Functions: Fill missing and outlier data using modified Akima interpolation
• fillmissing Function: Specify missing value locations
• min and max Functions: Return index information when operating on more than one dimension and specify linear indices
• tall Arrays: Write custom sliding-window algorithms to operate on tall arrays
• tall Arrays: Operate on tall arrays with more functions, including groupcounts, intersect, and svd
• Functionality Being Removed or Changed

Data Import and Export

• readmatrix, readvars, and readcell Functions: Read tabular data as a matrix, variables, or a cell array
  writematrix and writecell functions: Write tabular data from a matrix or cell array to a text or spreadsheet file
• readtimetable and writetimetable Functions: Read and write timetables
• detectImportOptions Function: Improve detection of import options for text and spreadsheet files
• parquetread, parquetwrite, and parquetinfo Functions: Read, write, and get information from Parquet files
• write Function: Write tall arrays to Parquet files
• Import Tool: Generate improved code when importing from text files
• thingSpeakRead and thingSpeakWrite Functions: Read or write data to the ThingSpeak IoT platform
• writetable and imwrite Functions: Write to web-based storage services like Amazon Web Services and Azure Blob Storage
• ParquetDatastore Object: Create a datastore for a collection of Parquet files
• ImageDatastore Object: Create a subset of an existing datastore
• DsFileSet Object: Create a subset of a file collection
• FileDatastore Object: Read large files by importing the file in smaller portions
• Datastores: Combine and transform datastores
• Custom Datastore: Read Hadoop based data from files, databases, and other non-file-based locations
• VideoReader function: Generate C and C++ code
• ind2rgb function: Generate C and C++ code
• Scientific File Format Libraries: NetCDF Library upgraded to version 4.6.1
• web function: Open external sites in system browser instead of MATLAB browser
• Functionality being removed or changed

Mathematics

• Solve assignment problem with matchpairs and equilibrate
• graph and digraph Objects: Construct graphs with categorical nodes

Graphics

• parallelplot Function: Visualize tabular or matrix data with multiple columns by using a parallel coordinates plot
• Data Tips: Pin and customize data tips in charts
• Axes Interactions: Customize chart interactions such as dragging to pan or scrolling to zoom
• Ruler Panning: Pan an axis to change its limits without having to use the pan tool
• Property Inspector: Navigate and control visibility of graphics objects interactively
• Geographic Plots: Geographic rulers, scale bar, CurrentPoint, and ginput
• Graphics Export: Export axes with tighter cropping using the axes toolbar
• Chart Resizing: Resize charts with improved layouts
• Colors Values: Specify colors using hexadecimal color codes
• Categorical Values: Specify categorical arrays for functions and objects that use lists of text
• rendererinfo Function: Get renderer information for any axes
• Functionality being removed or changed

App Building

• uiimage Function: Display an icon, logo, or picture in apps and on the App Designer canvas
• uitable Function: Sort tables interactively when using table arrays
• Auto Resize: Automatically resize components when an app is made smaller
• Scrolling Grids: Create apps with scrollable grids
• App Designer: Create apps that automatically reflow content based on device size
• App Designer: Add and configure a grid layout manager on the App Designer canvas
• App Designer: Rearrange the order of callbacks
• App Designer: Create new apps using App Designer Start Page options
• App Designer: Control font, code, and autosave settings using MATLAB Preferences
• App Designer: Access context-sensitive help in Code View
• App Designer: Zoom in App Designer
• Graphics Support: Explore data using axes toolbar and data tips in apps created with the uifigure function
• Deployed Web Apps: Share resizeable apps or create apps that open web pages
• MATLAB Online: Create and edit App Designer apps using MATLAB Online
• App Testing Framework: Perform hover gesture on axes, UI axes, and UI figures
• App Testing Framework: Perform press gesture on axes, UI axes, and UI figures
• App Testing Framework: Perform type gesture on date picker objects
• Functionality Being Removed or Changed

Performance

• sortrows Function: Sort rows of large matrices faster
• uitable Function: Faster performance using table arrays

Software Development Tools

• checkcode Function: Get the modified cyclomatic complexity of functions
• Source Control Integration: Synchronise MATLAB Git status with external Git clients
• Unit Testing Framework: Display code coverage metrics in HTML format
• Unit Testing Framework: Specify sources for collections of code coverage data with runtests
• Unit Testing Framework: runperf collects more samples to achieve its target margin of error
• Unit Testing Framework: Return performance test results as TimeResult arrays
• Unit Testing Framework: Load previously saved MeasurementResult objects as DefaultMeasurementResult
• Unit Testing Framework: Use matlab.unittest.fixtures.Fixture.onFailure method only in subclasses
• Unit Testing Framework: Compare tables that contain no rows
• Unit Testing Framework: Create test suite array from tests in project
• Unit Testing Framework: Run tests from files in project using runtests or testsuite
• Unit Testing Framework: Specify verbosity enumeration as a string or character vector
• App Testing Framework: Perform hover gesture on axes, UI axes, and UI figures
• App Testing Framework: Perform press gesture on axes, UI axes, and UI figures
• App Testing Framework: Perform type gesture on date picker objects
• Mocking Framework: Create mocks for classes that use custom metaclasses
• Mocking Framework: Create mocks for classes that use property validation
• Mocking Framework: Specify which methods to mock
• Functionality being removed or changed
• External Language Interfaces
• C++: Use C++ classes from third-party libraries in MATLAB
• Python: Version 3.7 support
• Python engine: Data type support
• C++ MEX: Execute MEX function out of process
• MEX functions: Use customer version of Boost library
• MATLAB Data Array: Support for row-major memory layout
• Compiler support changed for building MEX files and standalone MATLAB engine and MAT-file applications

Hardware Support

• MATLAB Support Package for Parrot Drones: Control Parrot Mambo FPV drone from MATLAB and acquire sensor data
• Deploy Sense HAT functions on Raspberry Pi hardware
• Functionality being changed or removed

System Requirements - Release 2019a

Windows

Note:

• Windows Server 2019 is supported as of R2019a
• Windows Server 2012 and Windows Server 2012 R2 are not supported as of R2019a

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Windows 10 Windows 7 Service Pack 1 Windows Server 2019 Windows Server 2016	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 2.9 GB of HDD space for MATLAB only, 5–8 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.

Linux

Note:

• Debian 8 is not supported as of R2019a.
• Support for Ubuntu 14.04 LTS will be discontinued in an upcoming release.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Ubuntu 18.10 Ubuntu 18.04 LTS Ubuntu 16.04 LTS Ubuntu 14.04 LTS Debian 9 Red Hat Enterprise Linux 7 (minimum 7.3) Red Hat Enterprise Linux 6 (minimum 6.7) SUSE Linux Enterprise Desktop 15 SUSE Linux Enterprise Desktop 12 (minimum SP2) SUSE Linux Enterprise Server 15 SUSE Linux Enterprise Server 12 (minimum SP2)	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 3.1 GB of HDD space for MATLAB only, 5–8 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 26 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. Use of vendor-supplied proprietary drivers is strongly recommended. GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.

Mac

Note: Support for macOS Sierra (10.12) will be discontinued in an upcoming release.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
macOS Mojave (10.14) macOS High Sierra (10.13) macOS Sierra (10.12)	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 3.3 GB of HDD space for MATLAB only, 5–8 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 30 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details. GPU acceleration with Parallel Computing Toolbox is not available on macOS Mojave.

Link Free Download Matlab 2019a (Windows/Linux/Mac)

Souce: https://freezone.xyz/softwares/free-download-matlab-2019a-windows-linux-mac/

Free Download Matlab 2018b Full (Windows/Linux/Mac)

Matlab 2018b (MATLAB 9.5, R2018b) introduced on 18 Sep 2018. The release contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families. The new Deep Learning Toolbox, which replaces Neural Network Toolbox, provides engineers and scientists with a framework for designing and implementing deep neural networks. Now, image processing, computer vision, signal processing, and systems engineers can use MATLAB to more easily design complex network architectures and improve the performance of their deep learning models.

What's new in Matlab 2018b

Desktop

• Live Editor: Organize live scripts using additional subheading styles
• Live Editor: Navigate within a live script using internal hyperlinks
• Live Editor: Filter table output interactively, and then add the generated code to the live script
• Live Editor: Create new and open existing live scripts faster
• Comparison Tool: Merge two versions of a live script or function
• Add-On Manager: Install and manage multiple versions of a custom toolbox

Language and Programming

• string Arrays: Use string arrays in MATLAB, Simulink, and Stateflow
• Enumerations: Improved performance of set operations with enumerations

Mathematics

• boundaryshape Function: Create a polyshape object from a 2-D triangulation
• polyshape Objects: Specify when to keep collinear points when creating a polyshape
• RandStream Objects: Generate random numbers using Threefry and Philox algorithms
• GraphPlot Object: Customize node and edge labels with font properties

Graphics

• Axes Interactions: Explore data with panning, zooming, data tips, and 3-D rotation enabled by default
• Axes Toolbar: Access and customize a data exploration toolbar for each Axes object
• Geographic Plots: Create line, scatter, and point density plots on interactive maps and control properties of a geographic axes
• stackedplot Function: Plot variables of a table or timetable for comparison using a common x-axis
• scatterhistogram Function: Visualize grouped data as a scatter plot with marginal histograms
• sgtitle Function: Create a title for a grid of subplots
• xline and yline Functions: Add vertical or horizontal lines to a plot

Data Import and Export

• Import Tool: Generate improved code when importing from spreadsheets
• Web-Based Data: Read from web-based data sources like Amazon Web Services and Azure Blob Storage using
• readtable, detectImportOptions, spreadsheetDatastore, imread, and imfinfo
• write Function: Write tall arrays in a variety of formats to local or remote locations
• stlread and stlwrite Functions: Read from and write to STL (Stereolithography) files for triangulations
• TabularTextDatastore Object: Import data containing dates and times from non-English locales

Data Analysis

• grouptransform Function: Transform table or timetable data by groups
• groupsummary Function: Perform group summary computations on matrices
• tall Arrays: Write custom algorithms to operate on tall arrays
• tall Arrays: Operate on tall arrays with more functions, including conv2, wordcloud, and groupsummary
• rmoutliers Function: Remove outliers in an array, table, or timetable
• islocalmin and islocalmax Functions: Specify a range of data for prominence computation
• Table and Timetable Metadata: Store custom metadata for each variable
• timetable Data Type: Save memory when storing row times with regular time steps

App Building

• App Designer: Add and configure date selection components on the App Designer canvas
• uigridlayout Function: Configure app layouts using a grid layout manager
• Scrolling Containers: Enable scrolling for figure, panel, tab, and button group containers
• Figure Interactions: Create apps with custom mouse and keyboard interactions using figures created with the
• uifigure function
• Tooltips: Create custom tooltips for UI components in apps
• Deployed Web Apps: Access files in deployed web apps using the uigetfile and uiputfile functions

Performance

• Startup: Increased speed of MATLAB startup
• Execution Engine: Index into large arrays with improved performance when using the colon operator
• Execution Engine: Faster calls to built-in functions
• Live Editor: Create new and open existing live scripts faster
• Enumerations: Improved set function performance with enumerations

Hardware Support

• MATLAB Online: Communicate with Raspberry Pi hardware board from MATLAB Online
• iOS and Android Sensors: Acquire sensor data when your device does not have network access
• iOS and Android Sensors: Upload sensor logs from the device to MATLAB Drive
• Advanced Software Development
• Python Interface: Pass multidimensional numeric or logical arrays between MATLAB and Python
• C++ MEX API: Call MATLAB asynchronously from within a MEX file using the C++ API
• Unit Testing Framework: Run tests in parallel with more plugins and more intelligent scheduling
• Performance Testing Framework: Measure execution time of fast code more accurately with the
• TestCase.keepMeasuring method

System Requirements - Release 2018b

Windows

Note:

• Windows 8.1 is not supported as of R2018b.
• Support for windows Server 2012 and Windows Server 2012 R2 will be will be discontinued in a future release

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Windows 10 Windows 7 Service Pack 1 Windows Server 2016 Windows Server 2012 R2 Windows Server 2012	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 2.6 GB of HDD space for MATLAB only, 4–6 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 23 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.

Linux

Note:

• SUSE Linux Enterprise Desktop 15 & SUSE Linux Enterprise Server 15 are supported as of R2018b.
• Ubuntu 18.04 LTS is supported as of R2018b.
• Support for Debian 8 will be discontinued in a future release.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Ubuntu 18.04 LTS Ubuntu 16.04 LTS Ubuntu 14.04 LTS Debian 9 Debian 8 Red Hat Enterprise Linux 7 (minimum 7.3) Red Hat Enterprise Linux 6 (minimum 6.7) SUSE Linux Enterprise Desktop 15 SUSE Linux Enterprise Desktop 12 (minimum SP2) SUSE Linux Enterprise Server 15 SUSE Linux Enterprise Server 12 (minimum SP2)	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 2.6 GB of HDD space for MATLAB only, 4-6 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 22 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.

Mac

Note: macOS El Capitan (10.11) is not supported as of R2018b.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
macOS Mojave (10.14) macOS High Sierra (10.13) macOS Sierra (10.12)	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 2.7 GB of HDD space for MATLAB only, 4–6 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 22 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. GPU acceleration with Parallel Computing Toolbox is not available on macOS Mojave.

Link Free Download Matlab 2018b (Windows/Linux/Mac)

Source: https://freezone.xyz/softwares/free-download-matlab-2018b-windows-linux-mac/

Free Download Matlab 2018a Full (Windows/Linux/Mac)

Matlab 2018a (MATLAB 9.4, R2018a) introduced on 15 Mar 2018 with a range of new capabilities in MATLAB and Simulink. R2018a includes two new products, Predictive Maintenance Toolbox for designing and testing condition monitoring and predictive maintenance algorithms, and Vehicle Dynamics Blockset for modeling and simulating vehicle dynamics in a virtual 3D environment. In addition to new features in MATLAB and Simulink, and the new products, this release also includes updates and bug fixes to 94 other products.

What's new in Matlab 2018a

Desktop

• Live Editor: Create live functions with richly formatted documentation, including equations and images
• Live Editor: Debug live functions and scripts
• Live Editor: Add sliders and drop-down lists to control variable values in a live script
• Live Editor: Sort table data interactively
• Live Editor: Create a table of contents and add formatted code examples​
• Live Editor: Select and edit a rectangular area of code
• Add-Ons Explorer: Browse by category to discover convenient, helpful add-ons
• Comparison Tool: Find differences in live scripts and functions
• Favorites: Rerun favorite commands
• Toolbox Packaging: Specify portability information for custom toolboxes

Language and Programming

• Empty Arrays: Create complex empty arrays using functions such as zeros and ones
• Code Compatibility Report: Generate compatibility report from Current Folder browser
• timer Object: Access properties with multilevel indexing
• Functionality being removed or changed

Mathematics

• graph and digraph Objects: Work with multigraphs that have multiple edges between two nodes
• graph and digraph Objects: Calculate component sizes and weighted adjacency matrices
• GraphPlot Object: Visualize graphs with additional options for 'force', 'force3', and 'circle' layouts
• polyshape Objects: Analyze polygons with turningdist, nearestvertex, and overlaps functions
• polyshape Objects: Return vertex map and accept arrays with compatible sizes for intersect, subtract, union, and xor functions
• polybuffer Function: Create buffer around points or lines
• triangulation Objects: Find neighboring vertices and locations of query points with improved performance
• ode45 Function: Solve nonstiff differential equations faster

Graphics

• Axes Object: View axes at small size with improved layout, limit selection, and font scaling
• Axes Object: Map data values to colormap using linear or logarithmic scale
• Legend Object: Create legends with multiple columns
• heatmap Function: Zoom and pan data, display data tips, and sort rows and columns interactively
• geobubble Function: Explore with interactive data tips and a scale bar​ ​
• Axes Toolbar: Add toolbars to your axes for quick access to pan, zoom, and other data exploration tools
• Property Inspector: Modify graphics interactively with an improved property inspector
• Polygon Object: Control color and transparency of hole edges
• Functionality being removed or changed

Data Import and Export

• readtable Function: Specify the number of rows to read from a text file using import options
• readtable Function: Easily manage prefixes and suffixes from data using import options
• preview Function: Preview first 8 rows of a table in a file without importing the full table
• imageDatastore Function: Work with millions of images with improved memory usage and performance
• Datastore Functions: Seamlessly work with datasets stored on cloud and local machines
• Datastore Functions: Read HDFS data more easily when using Hortonworks or Cloudera
• readtable, detectImportOptions, datastore, and tabularTextDatastore Functions: Automatically detect and return duration data in text files
• detectImportOptions Function: Control import properties of duration data
• VideoReader Function: Read video files faster on all platforms
• VideoWriter Function: Write video files faster on all platforms
• openDiskFile Function: Read data files in FITS (Flexible Image Transport System) data format
• webwrite Function: Support for NTLM authentication
• Functionality being removed or changed

Data Analysis

• groupsummary Function: Group and discretize data for summary operations on table and timetable variables
• Table and Timetable Variables: Add, delete, and rearrange column-oriented variables with the functions
• addvars, removevars, movevars, splitvars, mergevars, rows2vars, and inner2outer
• Preallocated Tables and Timetables: Initialize table and timetable variables so that they have specified sizes and data types
• Regular Timetables: Create regularly spaced timetables using a time step or sampling rate
• retime and synchronize Functions: Synchronize timetables to a time step or sampling rate that you specify
• duration Arrays: Create duration arrays from text that represents elapsed times
• normalize Function: Normalize array, table, and timetable data
• tall Arrays: Operate on tall arrays with more functions, including smoothdata, find, and isoutlier
• tall Array Indexing: Use tall numeric arrays to index the first dimension
• tall Arrays: Solve linear systems Ax = b
• tall Arrays: Return group labels with findgroups
• tall Arrays: Set date and time components of tall datetime and tall duration arrays
• tall Arrays: Set properties of tall tables and tall timetables
• Functionality being removed or changed

App Building

• App Designer: Create deployed web apps using MATLAB Compiler
• App Designer: Add and configure tree components on the App Designer canvas
• App Designer: Select from recently used argument sets when running apps with input arguments
• App Designer: Edit axes title and label directly in the canvas
• GUIDE: Migrate GUIDE apps to App Designer
• App Testing Framework: Author automated tests for App Designer apps
• Figure Objects: Maximize and minimize figures programmatically
• uitable Function: Specify data as table array
• uidatepicker Function: Add date selection controls to apps
• uiprogressdlg Function: Create modal in-app progress dialog boxes to apps
• uitree Function: Create trees with editable node text in the running app
• Component Text Alignment: Improved text alignment for labels, check boxes, and radio buttons
• Functionality being removed or changed

Performance

• Startup: Increased speed of MATLAB startup time
• Execution Engine: Execute tight loops with scalar math faster
• Execution Engine: Improved performance for common programming patterns
• App Designer: Starting, loading, and layout tasks are faster

Hardware Support

• Raspberry Pi: Support for Raspberry Pi Zero W board
• MATLAB Online: Acquire live images from USB webcams in MATLAB Online

Advanced Software Development

• Tab Completion: Describe your function syntaxes for custom tab completion and other contextual suggestions
• Unit Testing Framework: Run tests from the MATLAB Editor toolstrip
• App Testing Framework: Author automated tests for App Designer apps
• Unit Testing Framework: Rerun failed tests with one click
• Unit Testing Framework: Test if values point to existing files or folders with IsFile and IsFolder constraints
• Unit Testing Framework: Test if two sets are the same with IsSameSetAs constraint
• Unit Testing Framework: Select tests by test class hierarchy
• Unit Testing Framework: Direct output stream to unique files for plugins
• Unit Testing Framework: Increased access to parameterized testing properties
• Unit Testing Framework: Compare cell arrays of character arrays using StringComparator
• Unit Testing Framework: Comparison method for objects changed
• Performance Testing Framework: Define multiple, labeled measurement boundaries in test methods
• Mocking Framework: Specify default property values on mock object
• Mocking Framework: Obtain interaction history for mock object
• Mocking Framework: Construct mocks for classes that have Abstract properties with other attributes
• matlab.net.http Package: Stream data to and from a web service and handle forms and multipart messages
• C++ MEX Interface: Access MATLAB data and objects easier from C++
• Class Constructors: Author subclass without implementing a constructor solely to pass arguments through to a superclass constructor
• Property Validation: Get information about property validation
• Property Validation: Define validation for abstract properties
• Functions: Call numArgumentsFromSubscript for object dot method from overloaded subsref
• Classes: Concatenate matlab.lang.OnOffSwitchState enumeration members with nonmember char and string
• Python Version 3.4: Support discontinued
• Source Control Integration: View changes, save revisions, and manage repository locks
• MATLAB Engine API for C++: Set and get a property value on an object in an object array
• MATLAB Data API: Applications built with R2018a API do not run in MATLAB R2017b
• MEX Functions: Build C MEX Files with Interleaved Complex API
• MEX Functions: Release-specific build options
• Version Embedded in MEX Files
• Perl 5.26.1: MATLAB support
• System objects: Create System Objects in MATLAB
• System object support for strings
• .NET: Supports string data type
• Compiler support changed for building MEX files and standalone MATLAB engine and MAT-file applications
• Functionality being removed or changed

System Requirements - Release 2018a

Windows

Note:

• Windows Server 2008 R2 is not supported as of R2018a.
• Support for Windows 8.1 will be discontinued as of R2018b.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Windows 10 Windows 8.1 Windows 8 Windows 7 Service Pack 1 Windows Server 2016 Windows Server 2012 R2 Windows Server 2012	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 2 GB of HDD space for MATLAB only, 4–6 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 22 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.

Linux

Note:

• Ubuntu 17.10 is supported as of R2018a.
• SUSE Linux Enterprise Server 12 is supported as of R2018a.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Ubuntu 17.10 Ubuntu 16.04 LTS Ubuntu 14.04 LTS Debian 9 Debian 8 Red Hat Enterprise Linux 7 Red Hat Enterprise Linux 6 (minimum 6.7) SUSE Linux Enterprise Desktop 12 (minimum SP2) SUSE Linux Enterprise Server 12 (minimum SP2)	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 2.2 GB of HDD space for MATLAB only, 4–6 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 22 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.

Mac

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
macOS High Sierra (10.13) macOS Sierra (10.12) macOS El Capitan (10.11)	Minimum Any Intel or AMD x86-64 processor Recommended Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support	Minimum 2.5 GB of HDD space for MATLAB only, 4–6 GB for a typical installation Recommended An SSD is recommended A full installation of all MathWorks products may take up to 22 GB of disk space	Minimum 4 GB Recommended 8 GB With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.

Link Free Download Matlab 2018a (Windows/Linux/Mac)

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Free Download Matlab 2017b Full (Windows/Linux/Mac)

Matlab 2017b (MATLAB 9.3, R2017b) introduced on 21 Sep 2017 with new features in MATLAB and Simulink, six new products, and updates and bug fixes to 86 other products. The release also adds new important deep learning capabilities that simplify how engineers, researchers, and other domain experts design, train, and deploy models.

What's new in Matlab 2017b

Desktop

• Live Editor: Write MATLAB commands with automated, contextual hints for arguments, property values, and alternative syntaxes​​​​​
• Live Editor: Export live scripts to LaTeX format​​​​​​​​​
• Live Editor: Display high-resolution plots in PDF output​​​
• Live Editor: Horizontally align text, equations, and images​​​​​​​​​​​
• Live Editor: Automatically match delimiters and wrap comments while editing code​​
• Live Editor: View and scroll through table data, including variable and row names​​​​​​​​
• Live Editor: Check code for errors and warnings using the message bar and message indicator
• Documentation: Use the Live Editor in a web browser to open, edit, and run MATLAB online documentation examples
• MATLAB Drive: Store, access, and manage your files from anywhere
• Add-On Manager: Customize your MATLAB environment by enabling and disabling add-ons​​​​​​
• Add-On Manager: Find installed add-ons faster using sort and search​​​​​​​​​​
• Toolbox Packaging: Create a Getting Started Guide for your toolbox from a Live Script template​​​​​​​​​​​​​
• Toolbox Packaging: Share your toolbox on File Exchange directly when you package it​​​​
• Command Window: View updated display for cell arrays

Language and Programming

• Code Compatibility Report: Generate a report that helps the updating of code to a newer MATLAB release​​
• isStringScalar Function: Determine whether input is a string array with one element
• convertStringsToChars and convertCharsToStrings Functions: Enable your code to accept all text types as inputs without otherwise altering your code
• arrayfun, cellfun, and structfun Functions: Return object arrays as output arguments
• Scripts: Run sections in scripts containing local functions
• isfile and isfolder Functions: Determine if input is a file or a folder
• Functionality being removed or changed

Mathematics

• decomposition Object: Solve linear systems repeatedly with improved performance
• lsqminnorm Function: Find minimum-norm solution of underdetermined linear system
• dissect Function: Reorder sparse matrix columns using nested dissection ordering
• vecnorm Function: Compute vector-wise norms of arrays
• polyshape Object: Create, analyze, and visualize 2-D polygons
• eigs Function: Improved algorithm and new options
• svds Function: Set options with name-value pairs
• Interpolation Functions: Method for modified Akima cubic Hermite interpolation
• convn Function: Compute convolutions on multidimensional arrays with improved performance
  subgraph and highlight Functions: Specify graph nodes with logical vector
• Functionality being removed or changed

Graphics

• geobubble Function: Create an interactive map with bubbles whose size and color vary with data values
• wordcloud Function: Display words at different sizes based on frequency or custom size data
• binscatter Function: Visualize data density with dynamic bin size adjustment
• Tall Array Support: Visualize out-of-memory data using plot, scatter, and binscatter
• heatmap Function: Sort rows and columns and use custom labels in a heatmap
• bar Function: Control individual bar colors
• Chart Colors: Create bar and area charts with new default colors
• Axes Object: Specify the target axes for more functions
• Functionality being removed or changed

Data Import and Export

• Custom Datastore: Build a customized datastore
• datastore Function: Work with data stored in Windows Azure Blob Storage
• datastore Function: Access Hadoop HDFS data more easily
• FileDatastore Object: Create uniform output from datastore
• HDF5 Functions: Create datasets, groups, attributes, links, and named datatypes using non-ASCII characters
• Web services: Skip server name verification in certificates
• jsonencode Function: Encode NaN and Inf as null
• Functionality being removed or changed

Data Analysis

• ischange Function: Detect abrupt changes in data
• islocalmin and islocalmax Functions: Detect local minima and maxima in data
• rescale Function: Scale data to a specified range
• tall Arrays: Operate on tall arrays with more functions, including fillmissing, filter, median, polyfit, and synchronize
• tall Array Indexing: Use subscripted assignment with tall arrays
• tallrng Function: Control random number generator used by tall arrays
• timetable Data Container: Specify whether each variable in a timetable contains continuous or discrete data using the VariableContinuity property
• mink and maxk Functions: Find the k smallest or largest elements in an array
• topkrows Function: Find the k top rows in sorted order for numeric arrays, tables, and timetables

App Building

• App Designer: Create apps with a wide variety of 2-D and 3-D plots
• App Designer: Add menus to an app from the Component Library
• App Designer: Specify input arguments when running an app
• App Designer: Add a summary, description, and screenshot for app packaging and compiling
• App Designer: Improved component Properties pane in Code View
• App Designer: Edit tick labels for gauges, knobs, and sliders directly in the canvas
• uitree and uitreenode Functions: Create trees and tree nodes in apps
• uiconfirm Function: Create modal in-app confirmation dialog boxes
• Toolbox Packaging: Add App Designer apps to the Apps Gallery upon toolbox installation
• MATLAB Online: Run App Designer apps in MATLAB Online

Performance

• App Designer: Load apps faster
• Execution Engine: Improved performance for vectorized math on CPUs with AVX2​​​
• Live Editor: Run live scripts with loops faster

Hardware Support

• Arduino: Wirelessly connect to Arduino boards using low-cost Bluetooth adaptors
• Arduino Setup UI: Set up a connection to your Arduino board over USB, Bluetooth, or WiFi
• Arduino Plug-In Detection: Discover available Arduino support and examples when plugging a compatible Arduino board

Advanced Software Development

• MATLAB Engine API for C++: Run MATLAB code from C++ programs with object-oriented programming support and asynchronous execution
• MATLAB Engine API for C++: Pass data between C++ programs and MATLAB using MATLAB Data Array
• Java SE 8: MATLAB support, providing improved security and access to new Java features​​​
• MinGW 5.3: MATLAB support​​​
• Microsoft Visual Studio 2017: MATLAB support for Microsoft Visual Studio 2017 Community, Professional, and Enterprise editions​
• Compiler support changed for building MEX files and standalone MATLAB engine and MAT-file applications
• Python Version 3.6: MATLAB support
• Perl 5.24.1: MATLAB support
• MATLAB Handle class method: Add a listener for an event without binding the listener to the source object
• Unit Testing Framework: Provide code coverage reports in the Cobertura format for improved continuous integration workflows​​​
• Unit Testing Framework: Generate HTML report of a test run​​
• Unit Testing Framework: ​​Write tests as live scripts
• Unit Testing Framework: Specify additional diagnostics to evaluate upon failures using the onFailure​​​​​​ method
• Performance Testing Framework: Define multiple measurement boundaries in test methods
• Mocking Framework: Construct mocks for classes that have Abstract methods with other attributes
• Source Control Integration: Show differences from parent files and save copies in Git Branches
• Functionality being removed or changed

System Requirements - Release 2017b

Windows

Note:

• Windows 8 is not supported as of R2017b.
• Support for Windows Server 2008 R2 will be discontinued as of R2018a.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Windows 10 Windows 8.1 Windows 8 Windows 7 Service Pack 1 Windows Server 2016 Windows Server 2012 R2 Windows Server 2012 Windows Server 2008 R2 Service Pack 1	Any Intel or AMD x86-64 processor AVX2 instruction set support is recommended With Polyspace, 4 cores is recommended	2 GB for MATLAB only, 4–6 GB for a typical installation	2 GB With Simulink, 4 GB is required With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended.

Linux

Note:

• Ubuntu 17.04 is supported as of R2017b.
• Debian 9 is supported as of R2017b.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Qualified distributions*: Ubuntu 14.04 LTS, 16.04 LTS, and 17.04 Red Hat Enterprise Linux 6 and 7** SUSE Linux Enterprise Desktop 12*** Debian 8.x, 9.x	Any Intel or AMD x86-64 processor AVX2 instruction set support is recommended With Polyspace, 4 cores is recommended	2.2 GB for MATLAB only, 4–6 GB for a typical installation	2 GB With Simulink, 4 GB is required With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. Use of vendorsupplied proprietary drivers is strongly recommended.

* The listed distributions are those Linux distributions that MathWorks products have been validated against. It is likely that other distributions with kernel version 2.6 or later and glibc version 2.12 or later can successfully run MathWorks products, but MathWorks will be in a limited position to provide technical support for those distributions.

** MathWorks follows Red Hat’s support policy for minor versions of RHEL. As of MATLAB R2017b, Red Hat does not support RHEL versions 6.7 and older. Refer to the Red Hat web site for additional information.

*** MathWorks follows SUSE’s support policy for minor versions of Enterprise Desktop. As of MATLAB R2017b, SUSE supports SLED 12 SP2 and later. Refer to the SUSE web site for additional information.

Mac

Note:

• macOS High Sierra (10.13) is supported as of R2017b.
• macOS Yosemite (10.10) is not supported as of R2017b.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
macOS Sierra (10.12) macOS El Capitan (10.11) macOS Yosemite (10.13)	Any Intel or AMD x86-64 processor AVX2 instruction set support is recommended With Polyspace, 4 cores is recommended	2.5 GB for MATLAB only, 4–6 GB for a typical installation	2 GB With Simulink, 4 GB is required With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended.

Link Free Download Matlab 2017b (Windows/Linux/Mac)

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Free Download Matlab 2017a Full (Windows/Linux/Mac)

Matlab 2017a (MATLAB 9.2, R2017a) introduced on 9 Mar 2017 with a range of new capabilities in MATLAB and Simulink. R2017a includes a new product, Automated Driving System Toolbox, which helps design, simulate, and test ADAS and autonomous driving systems. R2017a also includes updates and bug fixes to 86 other products.

What’s new in Matlab 2017a

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: Use MATLAB through your web browser for teaching, learning, and convenient, lightweight access
• Startup Folder Behavior Changes: Set initial working folder using new options and behaviors

Language and Programming

• string Arrays: Create string arrays using double quotes
• String Functions: Return character arrays or cell arrays instead of string arrays
• missing Function: Assign missing values in core data types, including double, datetime, categorical, 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
• head and tail Functions: Return top or bottom rows of table or timetable
• table Data Containers: Use row labels when performing join, sort, and grouping operations
• Functionality being removed or changed

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
• histogram Function: Sort categorical bins by bar height, and limit the number of bins displayed
• scatter Function: Create scatter plots of datetime and duration data
• Scatter Plots: Create scatter plots with varying marker sizes faster
• parula Colormap: Create plots with enhanced colors
• Functionality being removed or changed

Data Import and Export

• ​datastore and tabularTextDatastore Functions: Automatically detect and return date and time data in text files​
• datastore Function: Work with data in Amazon S3 cloud storage
• 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​​​
• save Function: Save workspace variables to a MAT-file with or without compression
• writetable Function: Select preferred character encoding when writing to a file
• NetCDF Functions: Create variable names and attributes containing non-ASCII characters
• Webcam Support Package: GStreamer Upgrade on Linux
• jsondecode converts JSON null values in numeric arrays to NaN
• load and fopen Functions: Use the file separator character ('\') preceding a filename to indicate that the file is in the root folder
• Functionality being removed or changed

Data Analysis

• tall Arrays: Operate on tall arrays with more functions, including ismember, sort, conv, and moving statistics functions
• tall Arrays: Index tall arrays using sorted indices
• tall Arrays: Work with out-of-memory, time-stamped data in a timetable
• 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
• histcounts Function: Bin datetime and duration data
• 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
• Moving Statistics Functions: Supply sample points for time-stamped and nonuniform data in moving statistics functions, such as movmean
• prod and cumprod Functions: Ignore NaNs using 'omitnan'
• Functionality being removed or changed

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
• App Designer: Include comet, graph, and digraph visualizations in apps
• App Designer: Write ButtonDownFcn callbacks for graphics objects displayed in UI axes
• App Designer: Edit table column headings directly in the canvas
• App Designer: Disable automatic resize behavior when writing SizeChangedFcn callbacks

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
• App Designer: Load apps faster
• Mathematics Functions: Various performance improvements

Hardware Support

• Arduino: Read from quadrature encoders
• Arduino: Wirelessly connect to Arduino MKR1000 board over WiFi

Advanced Software Development

• Class matlab.lang.OnOffSwitchState: Represent on and off as logical values
• Object Properties: Validate object property values by their type, size, shape, or other parameters​​
• Validation Functions: Validate that values meet specific criteria by calling the appropriate function
• Mocking Framework: Isolate a portion of a system to test by imitating behavior of dependent components
• Unit Testing Framework: Generate screenshots and figures during testing with ScreenshotDiagnostic and FigureDiagnostic 

• Unit Testing Framework: Capture screenshots and figures generated during tests using TestReportPlugin​
• Unit Testing Framework: Control runtests function with debug, strict, and verbosity options​
• Unit Testing Framework: Select tests by procedure name
• Unit Testing Framework: Comparator for MATLAB tables
• Performance Testing Framework: View statistics from test measurements with the sampleSummary method​​
• Performance Testing Framework: Apply a function across test measurements with the samplefun method
• Source Control Integration: Use Git Pull to fetch and merge in one step
• MEX builds with 64-Bit API by default
• MEX files and shared libraries: Diagnostic information displayed for failure to load
• Java: Supports string data type
• Python: Supports string data type
• Python Version 3.3: Support discontinued
• MATLAB ships with ActiveState Perl version 5.24 on Windows platforms
• Compiler support changed for building MEX files and standalone MATLAB engine and MAT-file applications
• Functionality being removed or changed

System Requirements - Release 2017a

Windows

Note: Support for Windows 8 will be discontinued as of R2017b; however, support will continue for Windows 8.1.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Windows 10 Windows 8.1 Windows 8 Windows 7 Service Pack 1 Windows Server 2016 Windows Server 2012 R2 Windows Server 2012 Windows Server 2008 R2 Service Pack 1	Any Intel or AMD x86-64 processor AVX2 instruction set support is recommended With Polyspace, 4 cores is recommended	2 GB for MATLAB only, 4–6 GB for a typical installation	2 GB With Simulink, 4 GB is required With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended.

Linux

Note:

• Ubuntu 16.10 is supported as of R2017a.
• Debian 7 is not supported as of R2017a.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
Qualified distributions*: Ubuntu 14.04 LTS, 16.04 LTS, and 16.10 Red Hat Enterprise Linux 6 and 7** SUSE Linux Enterprise Desktop 12*** Debian 8.x	Any Intel or AMD x86-64 processor AVX2 instruction set support is recommended With Polyspace, 4 cores is recommended	2.2 GB for MATLAB only, 4–6 GB for a typical installation	2 GB With Simulink, 4 GB is required With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. Use of vendor supplied proprietary drivers is strongly recommended.

* The listed distributions are those Linux distributions that MathWorks products have been validated against. It is likely that other distributions with
kernel version 2.6 or later and glibc version 2.12 or later can successfully run MathWorks products, but MathWorks will be in a limited position
to provide technical support for those distributions.
** MathWorks follows Red Hat’s support policy for minor versions of RHEL. As of MATLAB R2017a, Red Hat does not support RHEL versions 6.6
and older. Refer to the Red Hat web site for additional information.
*** MathWorks follows SUSE’s support policy for minor versions of Enterprise Desktop. As of MATLAB R2017a, SUSE supports SLED 12 SP1 and
later. Refer to the SUSE web site for additional information

Mac

Note: Support for macOS Yosemite (10.10) will be discontinued as of R2017b.

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	Processors	Disk Space	RAM	Graphics
macOS Sierra (10.12) macOS El Capitan (10.11) macOS Yosemite (10.10)	Any Intel or AMD x86-64 processor AVX2 instruction set support is recommended With Polyspace, 4 cores is recommended	2.5 GB for MATLAB only, 4–6 GB for a typical installation	2 GB With Simulink, 4 GB is required With Polyspace, 4 GB per core is recommended	No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended.

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