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. |
