MathWorks MATLAB R2018b MacOsx | 11.6 Gb
The MathWorks product team is pleased to announce the availability of MATLAB R2018b (version 9.5.0.944444). New tools for building apps, writing scripts, and team-based software development. More options for data analytics, machine learning, and deep learning.

   
        New Features, Bug Fixes, Compatibility Considerations

- 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​​​
Live Editor: Change case of text or code
Comparison Tool: Merge two versions of a live script or function​​
Add-On Manager: Install and manage multiple versions of a custom toolbox​
Add-On Manager: Save add-ons to new default location
Documentation: View MATLAB documentation in Spanish
Toolbox Packaging: Install additional software with custom toolboxes
- Language and Programming
string Arrays: Use string arrays in MATLAB, Simulink, and Stateflow
convertContainedStringsToChars Function: Convert string arrays at any level of cell array or structure
Enumerations: Improved performance of set operations with enumerations
WSDL Web Services Documents: Required Tools Update
Functionality being removed or changed
- 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
GraphDescription Object: Customize node and edge labels with font properties
sinpi and cospi Functions: Compute the sine and cosine of multiples of π
- 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 Descriptions: Create line, scatter, and point density Descriptions on interactive maps and control properties of a geographic axes
stackedDescription Function: Description variables of a table or timetable for comparison using a common x-axis
scatterhistogram Function: Visualize grouped data as a scatter Description with marginal histograms
sgtitle Function: Create a title for a grid of subDescriptions
xline and yline Functions: Add vertical or horizontal lines to a Description
imtile Function: Combine multiple image frames into one rectangular tiled image
Data Tips: Use TeX or LaTeX markup in data tips with improved visual appearance
Functionality being removed or changed
- 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
readtable and writetable Functions: Read or write spreadsheet files without initiating Microsoft Excel for Windows on Windows platforms
readtable Function: Manage the import of empty fields using import options
Scientific File Format Libraries: CFITSIO Library upgraded to version 3.420
Functionality being removed or changed
- Data Analysis
Vector Dimension Argument: Operate on multiple dimensions at a time for selected reduction functions
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
timerange Function: Specify unit of time to define time range
convertvars Function: Convert table or timetable variables to specified data type
table, timetable, and addvars Functions: Use single quotes for input names, not double-quoted strings
Functionality Being Removed or Changed
- App Building
App Designer: Add and configure date selection components on the App Designer canvas
App Designer: Unified property inspector in Design View and Code View
App Designer: Expand and collapse sections of code in Code View
App Designer: Export apps as code files
App Designer: Locate errors and warnings in your code with the Code Analyzer message bar
App Designer: Program apps faster using improved code suggestions and completions
App Designer: Control App Designer Code View settings using MATLAB preferences
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
Graphics Support: Integrate Descriptions into an app using the axes, polaraxes, and geoaxes functions
Tooltips: Create custom tooltips for UI components in apps
Deployed Web Apps: Access files in deployed web apps using the uigetfile and uiputfile functions
Running Apps in Browsers: Use most modern browsers to run apps in MATLAB Online or as deployed web apps
uisetcolor Function: Select custom colors interactively
Functionality Being Removed or Changed
- 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​
Building Apps: Faster canvas interactions in App Designer
Running Apps: Faster startup time for apps
sort Function: Sort matrices and arrays faster
- Hardware Support
MATLAB Online: Communicate with Raspberry Pi hardware board from MATLAB Online
Deploy a MATLAB function on Raspberry Pi hardware
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
Tab Completion: Validate function signature file with validateFunctionSignaturesJSON function
Tab Completion: JSON parser for functionSignatures.json upgrade
Java SE 8: MATLAB support, providing improved security and access to new Java features​​​
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
Unit Testing Framework: Use external parameters in parameterized test
Unit Testing Framework: Sort test suite based on shared fixtures
Unit Testing Framework: Explicitly control output display detail and logged diagnostic level
Unit Testing Framework: Configure detail level of output diagnostics
Unit Testing Framework: Compare values faster when using constraints
App Testing Framework: Programmatically choose tree node
Performance Testing Framework: Measure execution time of fast code more accurately with the TestCase.keepMeasuring method
Mocking Framework: Invoke function upon mocked method call
Mocking Framework: Verify interactions on mock occurred in order
Mocking Framework: Clear history of recorded mock object interactions
matlab.test.behavior.Missing class: Verify class satisfies missing-value behavior contract
MEX Functions: Build Fortran MEX Files with Interleaved Complex API
Compiler support changed for building MEX files and standalone MATLAB engine and MAT-file applications
System objects: Flexible requirements for inputs when calling System objects
System object authoring: Use enumerations to define finite property lists in System objects
Reference Architecture: Deploy and run MATLAB on Amazon Web Services (AWS) and Microsoft Azure
Git Stashes: Store uncommitted changes for later use
Functionality being removed or changed   

For the full list of new and improved features, and fixed bugs please refer to the release notes located here

https://www.mathworks.com/help/matlab/release-notes.html

About MATLAB.   MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include:
- Math and computation
- Algorithm development
- Modeling, simulation, and prototyping
- Data analysis, exploration, and visualization
- Scientific and engineering graphics
- Application development, including Graphical User Interface building
MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar noninteractive language such as C or Fortran.
The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects, which together represent the state-of-the-art in software for matrix computation.
MATLAB has evolved over a period of years with input from many users. In university environments, it is the standard instructional tool for introductory and advanced courses in mathematics, engineering, and science. In industry, MATLAB is the tool of choice for high-productivity research, development, and analysis.
MATLAB features a family of application-specific solutions called toolboxes. Very important to most users of MATLAB, toolboxes allow you to learn and apply specialized technology. Toolboxes are comprehensive collections of MATLAB functions (M-files) that extend the MATLAB environment to solve particular classes of problems. Areas in which toolboxes are available include signal processing, control systems, neural networks, fuzzy logic, wavelets, simulation, and many others.

About MathWorks.   MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate the pace of discovery, innovation, and development in automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. MATLAB and Simulink are also fundamental teaching and research tools in the world's universities and learning institutions. Founded in 1984, MathWorks employs more than 3500 people in 15 countries, with headquarters in Natick, Massachusetts, USA.

Product: MathWorks MATLAB
Version: R2018b (version 9.5.0.944444)
Supported Architectures: x64
Website Home Page :

www.mathworks.com

Language: english
System Requirements: MacOsx
Supported Operating Systems: MacOS Mojave (10.14), High Sierra (10.13), Sierra (10.12)
Size: 11.6 Gb

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