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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

Matlab 2018a Crack File

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.

Operating Systems	Processors	Disk Space	RAM	Graphics
64-Bit MATLAB, Simulink and Polyspace Product Families
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.

Operating Systems	Processors	Disk Space	RAM	Graphics
64-Bit MATLAB, Simulink and Polyspace Product Families
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

Operating Systems	Processors	Disk Space	RAM	Graphics
64-Bit MATLAB, Simulink and Polyspace Product Families
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.

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