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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
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- 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. |
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