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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.Matlab 2018a Cracked Free Download
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. |
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Labels: Linux, Mac, Matlab, Matlab 2019a, R2019a, Software, Windows
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How to crack matlab 2016a
Setup & choose “Use a File Installation Key”
enter key:
09806-07443-53955-64350-21751-41297
– To setup Matlab Production Server enter the key:
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– Browser to license_standalone.lic to activate,
or copy license_standalone.lic file to “licenses” folder and run matlab without active.
After setup success, copy files in crack folder to matlab setup folder (replace if it is exitst).