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: Select and edit a rectangular area of code
• 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​ ​
• 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
• 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

### Hardware Support

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

• 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: 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 10Windows 8.1Windows 8Windows 7 Service Pack 1Windows Server 2016Windows Server 2012 R2Windows Server 2012 MinimumAny Intel or AMD x86-64 processorRecommendedAny Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support Minimum2 GB of HDD space for MATLAB only,4–6 GB for a typical installationRecommendedAn SSD is recommended A full installation of all MathWorks products may take up to 22 GB of disk space Minimum4 GBRecommended8 GBWith 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 usingthe Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.

Note:

## Matlab 2018a Crack

• 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 17.10Ubuntu 16.04 LTSUbuntu 14.04 LTSDebian 9Debian 8Red Hat Enterprise Linux 7Red Hat Enterprise Linux 6 (minimum 6.7)SUSE Linux EnterpriseDesktop 12 (minimum SP2)SUSE Linux Enterprise Server 12 (minimum SP2) MinimumAny Intel or AMD x86-64 processorRecommendedAny Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support Minimum2.2 GB of HDD space for MATLAB only,4–6 GB for a typical installationRecommendedAn SSD is recommended A full installation of all MathWorks products may take up to 22 GB of disk space Minimum4 GBRecommended8 GBWith 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 usingthe 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) MinimumAny Intel or AMD x86-64 processorRecommendedAny Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support Minimum2.5 GB of HDD space for MATLAB only,4–6 GB for a typical installationRecommendedAn SSD is recommended A full installation of all MathWorks products may take up to 22 GB of disk space Minimum4 GBRecommended8 GBWith 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 usingthe Parallel Computing Toolbox requires a CUDA GPU. See GPU Computing Support for details.