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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.

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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

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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

Note:

• 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.

Link Free Download Matlab 2018a (Windows/Linux/Mac)

Labels: Linux, Mac, Matlab, Matlab 2018a, R2018a, Software, Windows

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Update logs

New features, bug fixes, compatibility considerations

desktop

Real-time Editor: Organize real-time scripts using other subtitle styles

Real-time Editor: Navigation in Real-time Scripts Using Internal Hyperlinks

Real-time Editor: Interactively filters table output, and then adds generated code to real-time scripts

Real-time Editor: Create new and open existing real-time scripts faster

Real-time Editor: Changing the capitalization of text or code

Comparing tools: merging two versions of real-time scripts or functions

When comparing real-time scripts or real-time functions with a comparison tool, changes can be merged from one file to another. Merging changes can be useful in resolving conflicts between different versions of a file.

To merge two real-time scripts or functions, go to the Dynamic Editor tab and click Compare in the File section. A new window opens and two files are displayed side by side. Select the Merge Mode button to start the merge.

Use this button to replace the content in the right pane with that in the left pane. The right pane contains the results of the merge. To save the results, click Save the Results.

Load Manager: Install and manage multiple versions of a custom toolbox

Add-in Manager: Save the add-in to a new default location

Documentation: View MATLAB documents in Spanish

Toolbox Packaging: Use custom toolbox to install other software

Language and programming

String arrays: String uses arrays in MATLAB, Simulink, and Stateflow

ConvertContainedStringsToChars function: Convert string arrays at any level of cell arrays or structures

Enumeration: Enumeration improves the performance of set operations

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WSDL Web Services Documentation: Necessary Tool Updates

Functions deleted or changed

Mathematics

Boundaryshape function: polyshape creates an object from two-dimensional triangulation

Polyshape object: Specifies the time when the collinear point is maintained at creation

RandStream Object: Generating Random Numbers Using Threefry and Shilox Algorithms

GraphPlot object: Uses font attributes to customize nodes and edge Tags

Sinpi and cospi functions: calculating sine and cosine of PI multiples

image

Axis Interaction: By default, enable translation, zooming, data prompts, and three-dimensional rotation to explore data

Axis toolbar: Data exploration toolbar for accessing and customizing each Axes object

Geographic maps: Create lines, scatter maps and point density maps on interactive maps, and control the attributes of geographic axes

Stacked plot function: draw table or schedule variables for comparison using the general X-axis

Scatterhistogram function: visualize grouped data as scatter plots with edge histograms

Sgtitle function: creating headings for subgraph grids

Xline and Yline functions: add vertical or horizontal lines to drawings

Imtile function: merge multiple image frames into a rectangular tiled image

Data Tips: Use TeX or LaTeX tags in data tips to improve visual appearance

Functions deleted or changed

Data import and export

Import tool: Generate improved code when importing spreadsheets

Web-based data: Readtable, detection ImportOptions, spreadsheet Datastore, imread, and imfinfo are accessed using Web-based data sources such as Amazon Web Services and Azure’s Blob Storage

Write function: Write high arrays in various formats to local or remote locations

Stlread and stlwrite functions: read and write STL (Stereolithography) files for triangulation

TabularTextDatastore object: Importing data containing date and time from a non-English language environment

Readtable and writetable functions: read or write spreadsheet files without starting Microsoft Excel for Windows on Windows platform

Readtable function: use import options to manage the import of empty fields

Scientific File Format Library: CFITSIO Library Upgraded to Version 3.420

Functions deleted or changed

Data analysis

Vector Size Parameters: Operate multiple sizes at a time for selected shrinkage functions

Grouptransform Function: Converting Tables or Schedule Data by Groups

Groupsummary function: summary calculation of matrix execution group

Tall arrays: Write custom algorithms to run on high arrays

Tall arrays: there are more functions in high-level array operations, including conv2, wordcloud and groupsummary

Rmoutliers function: delete outliers in arrays, tables or timetables

Islocalmin and islocalmax functions: specify data scopes that highlight computation

Table and timetable metadata: Custom metadata for storing each variable

Timetable data type: memory savings when storing row time at regular time steps

Timerange function: specify the unit of time that defines the time range

Convertvars function: Converts a table or schedule variable to a specified data type

Table, timetable, and addvars functions: Use single quotation marks for input names, not double quotation strings

Functions deleted or changed

App Building

App Designer: Add and configure date selection components on the App Designer canvas

App Designer: Unified Property Checker in Design View and Code View

Application Designer: Expand and Fold the Code Section in the Code View

App Designer: Export an application to a code file

Application Designer: Use Code Analyser Message Bar to Find Errors and Warnings in Code

App Designer: Faster application writing using improved code advice and completion procedures

App Designer: Use MATLAB preferences to control App Designer code view settings

Uigridlayout function: configuring application layout using grid layout manager

Rolling Container: Enable Rolling Graphics, Panel, Tab and Button Group Containers

Graph Interaction: Create applications using custom mouse and keyboard interactions using graphics created using the uifigure function

Graphics card support: use integrated blocks to form an application axes, polaraxes, and geoaxes functionality

ToolTips: Create custom tooltips for UI components in applications

Deployed Web applications: Use uigetfile and uiputfile functions to access files in deployed Web applications

Running applications in browsers: Running applications in MATLAB Online or deployed Web applications using most modern browsers

Uisetcolor functionality: interactive selection of custom colors

Functions deleted or changed

performance

Start-up: Improving the Start-up Speed of MATLAB

Execution Engine: Index to large arrays with improved performance when using colon operators

Execution Engine: Calling Built-in Functions Faster

Real-time Editor: Create new and open existing real-time scripts faster

Enumeration: Enumeration improves set function performance

Building applications: Faster canvas interaction in App Designer

Running applications: Faster application startup time

Sort function: Sort matrices and arrays more quickly

Hardware support

MATLAB Online: Communication and raspberry dispatch from hardware board MATLAB Online

Deployment of MATLAB functions on Raspberry Pi hardware

IOS and Android sensors: Get sensor data when your device is unable to access the network

IOS and Android sensors: upload sensor logs from devices to MATLAB Drive

Advanced Software Development

Tab completion: Verify the function signature file using the validateFunctionSignatures JSON function

Tab completion: JSON parser for functional Signatures. JSON upgrade

Java SE 8: MATLAB support to provide greater security and access to new Java functions

Python interface: Passing multidimensional numbers or logical arrays between MATLAB and Python

C++ MEX API: Asynchronous invocation of MATLAB from MEX files using C++ API

Unit Testing Framework: Running Tests in Parallel with More Plugins and Smart Scheduling

Unit Testing Framework: Using External Parameters in Parametric Testing

Unit testing framework: sorting test suites based on shared fixture

Unit Test Framework: Explicit Control of the Diagnostic Level of Output Display Details and Records

Unit Test Framework: Configuring the Detailed Level of Output Diagnosis

Unit Test Framework: Compare values faster with constraints

Application Test Framework: Selecting Tree Nodes Programmatically

Performance Testing Framework: Using this TestCase. Keep Measuring method to measure the execution time of fast code more accurately

Simulating Framework: Calling Functions when Simulating Method Calls

Analog Framework: Verify the interaction on the simulation sequentially

Analog Framework: Recording a Clear History of Analog Object Interaction

Matlab. test. behavior. Missing class: Verification class satisfies missing value behavior contract

MEX function: Using Interleaved Complex API to build Fortran MEX file

The compiler support has been changed to build MEX files and stand-alone MATLAB engines and MAT file applications

System Objects: Flexible Requirements for Input when System Objects are Called

System Object Creation: Use Enumerations to Define Limited Attribute Lists in System Objects

Reference Architecture: Deploy and run MATLAB on Amazon Web Services (AWS) and Microsoft Azure

Git Stashes: Stores uncommitted changes for later use

Functions deleted or changed