MathWorks today introduced Release 2018a (R2018a) 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.
R2018a (Version 9.4) - Mar 2018
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
Mathematics
- graph and digraph Objects: Work with multigraphs that have multiple edges between two nodes
- GraphPlot Object: Visualize graphs with additional options for 'force', 'force3', and 'circle' layouts
- polyshape Objects: Analyze polygons with turningdist, nearestvertex, and overlaps functions
- polybuffer Function: Create buffer around points or lines
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
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
- VideoReader Function: Read video files faster on all platforms
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
App Building
- App Designer: Create deployed web apps using MATLAB Compiler
- App Designer: Add and configure tree components on the App Designer canvas
- 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
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
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
- 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++
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