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What’s new in Matlab 2019b

Environment

- Live Editor Tasks: Add interactive tasks to live scripts to explore parameters and automatically generate code
- Live Editor Output: Animate plots to show changes in data over time
- Live Editor Output: Adjust the width of columns in tables
- Live Editor Output: Scroll through and copy data in arrays such as cell arrays, object arrays, and struct arrays
- Live Editor Export: Customize figure format as well as document paper size, orientation, and margins when exporting
- Live Editor Code: Duplicate one or more lines of code
- Live Editor Code: Suppress Code Analyzer warning messages
- Live Editor Debugging: Set breakpoints for anonymous functions
- Live Editor Internationalization: Add non-English language such as Chinese, Japanese, and Korean characters on Windows and macOS Platforms
- Add-On Manager: Update MATLAB and other installed add-ons
- Add-On Manager: Programmatically manage add-ons by name
- Settings: Create persistent settings for custom apps, toolboxes, and across MATLAB sessions
- MATLAB Drive: Share folders and collaborate with others
Functionality being removed or changed

Language and Programming

- size Function: Find lengths of multiple array dimensions at a time
- matches Function: Determine if input strings are equal
- Hexadecimal and Binary Numbers: Specify numbers using hexadecimal and binary literals
- Indexing: Use dot indexing into function calls
- System object authoring improvements: Property validation support and simplified class inheritance
- Function Input Arguments: Declare function input arguments to restrict values
- namedargs2cell Function: Convert structure containing name-value pairs to cell array
- delete, dir, isfile, isfolder, and what Functions: Access web-based storage services like Amazon Web Services and Azure Blob Storage
- Suggested Corrections: Correct errors with two new classes
- error Function: Provide suggested fix for uncaught exception

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Functionality being removed or changed

Data Analysis

- Live Editor Tasks: Interactively preprocess data and generate code
- groupfilter Function: Filter data in a table, timetable, or matrix by group
- datetime Data Type: Detect formats with fractional seconds when converting text that represents dates and times
- table and timetable Data Types: Variable names can have any characters, including spaces and non-ASCII characters
- tall Arrays: Operate on tall arrays with more functions, including setdiff, xcorr, and outerjoin
- tall Arrays: Avoid running out of memory due to temporary copies of data

Data Import and Export

- detectImportOptions Function: Specify the type of import options for delimited or fixed-width text files
- table and timetable Data Types: Read and write tabular data that has variable names containing any characters, including spaces and non-ASCII characters
- sheetnames Function: Get names of worksheets from spreadsheet file
- VideoReader Object: Read frames in videos using frame index or time
- VideoReader Object: Improved performance in generated code with row-major layout
- Import Tool: Generate simpler code when importing from fixed-width text files
- save Function: Save workspace variables to a MAT-file version 7 without compression
- xmlread Function: Prevent reading of XML files that contain DOCTYPE declarations
- imread function: Supports reading specified images from PGM, PBM, or PPM file formats
- Scientific File Format Libraries: CFITSIO Library upgraded to version 3.450
- Scientific File Format Libraries: LibTIFF Library upgraded to version 4.0.10
- RESTful Functions: Support for digest authentication
- tcpclient, read, and write Functions: Generate C and C++ code
- Bluetooth Low Energy Interface: Support for scanning and interacting with peripheral devices
- Serial Port Devices: New functions and properties
- Functionality being removed or changed

Mathematics

- makima Function: Perform modified Akima cubic Hermite interpolation

Graphics

- Chart Container Class: Develop your own class of charts
- tiledlayout and nexttile Functions: Create configurable layouts of plots in a figure
- colororder Function: Control the colors in plots
- Bar Charts: Create bar charts with improvements for stacking and locating the tips of bars
- Data Tips: Create and customize data tips
- dataTipInteraction Function: Pin data tips at cursor location
- Axes Toolbar: Save or copy contents of axes as image
- parallelplot Function: Zoom, pan, and rearrange coordinates interactively
- Property Inspector: Update axis tick values and labels using clipboard data
- Image Interpolation: Select an interpolation method for displaying images
- legend Function: Create unlimited legend entries and specify categorical arrays
- pcolor Function: Specify categorical, datetime, and duration data
- Geographic Plots: Plot data on high-zoom-level basemaps
- Geographic Plots: Create plots with improved basemap appearance
- Geographic Axes: Display animations using comet or animatedline
- Geographic Bubble Charts: Create charts with improved layout
- Functionality being removed or changed

App Building

- uistyle Function: Create styles for rows, columns, or cells in a table UI component
- uigridlayout Function: Configure grid rows and columns to adjust automatically to fit components
- uitable Function: Sort table UI components interactively when using logical, numeric, string, or cell arrays
- uihtml Function: Embed HTML, JavaScript, or CSS content in apps and on the App Designer canvas
- App Designer: Convert components in a UI figure or container from pixel-based positioning to a grid layout manager
- App Designer: Convert an existing app into an auto-reflowing app
- App Designer: Suppress Code Analyzer warning messages
- App Designer: Open App Designer from the MATLAB toolstrip
- App Testing Framework: Perform gestures on polar axes and UI images
- Functionality being removed or changed

Performance

- table Data Type Indexing: Improved performance when assigning elements by subscripting into large table variables
- datetime, duration, and calendarDuration Data Type Indexing: Improved performance when assigning elements by subscripting into large arrays
- datetime Data Type Indexing: Improved performance when referring or assigning to date and time components of datetime arrays
- uitable Function: Faster performance when data type is numeric, logical, or a cell array of character vectors
- unzip and gunzip Functions: Improved performance when extracting contents of zip files and GNU zip files

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Software Development Tools

- Unit Testing Framework: Run tests in parallel with your custom plugins
- Unit Testing Framework: Validate count in string constraints
- Performance Testing Framework: Visually compare two TimeResult arrays
- App Testing Framework: Perform gestures on polar axes and images
- Projects: Delete project definition files
- Compare Git Branches: Show differences and save copies
Functionality being removed or changed

External Language Interfaces

- C++ Interface: Options for publishing C++ interface library
- C++ Interface: nullptr supported as output argument
- C++ Interface: Read-only (const) object support
- Java Interface: JRE version 1.8.0_202 support
- Out-of-Process Execution of C++ MEX Functions: Customize environment variables
- HTTP Web Services: Server authentication support for NTLM and Kerberos protocols
- HTTP Web Services: Timeout options
- Python Interface: Execute Python functions out of process
- Python Interface and Engine: Version 3.5 support discontinued
- Compiler support changed for building MEX files and standalone MATLAB engine and MAT-file applications
- Functionality being removed or changed

System Requirements - Release 2019b

Windows

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	RAM
- Windows 10 - Windows 7 Service Pack 1 - Windows Server 2019 - Windows Server 2016	- Minimum: 4 GB - Recommended: 8 GB - For Polyspace, 4 GB per core is recommended
Processors	Graphics
- 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	- 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 GPU that supports CUDA 3 or newer. See Wikipedia to determine what version of CUDA your GPU supports.
Disk
- Minimum: 3.1 GB of HDD space for MATLAB only, 5-8 GB for a typical installation - Recommended: An SSD is recommended - A full installation of all MathWorks products may take up to 31 GB of disk space

Linux

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	RAM
- Ubuntu 19.04 - Ubuntu 18.04 LTS - Ubuntu 16.04 LTS - Debian 10 - Debian 9 - Red Hat Enterprise Linux 8 - Red Hat Enterprise Linux 7 (minimum 7.3) - Red Hat Enterprise Linux 6 (minimum 6.7) - SUSE Linux Enterprise Desktop 12 (minimum SP2) - SUSE Linux Enterprise Desktop 15 - SUSE Linux Enterprise Server 12 (minimum SP2) - SUSE Linux Enterprise Server 15 Note: - Ubuntu 14.04 LTS is no longer supported. - Debian 10 is supported as of R2019b. - Red Hat Enterprise Linux 8 is supported as of R2019b	- Minimum: 4 GB - Recommended: 8 GB - For Polyspace, 4 GB per core is recommended
Processors	Graphics
- 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	- No specific graphics card is required. - Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended. - Use of vendor-supplied proprietary drivers is strongly recommended. - GPU acceleration using the Parallel Computing Toolbox requires a GPU that supports CUDA 3 or newer. See Wikipedia to determine what version of CUDA your GPU supports.
Disk
- Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation - Recommended: An SSD is recommended - A full installation of all MathWorks products may take up to 28 GB of disk space

Mac

64-Bit MATLAB, Simulink and Polyspace Product Families
Operating Systems	RAM
- macOS Mojave (10.14) - macOS High Sierra (10.13.6) Note: - macOS Mojave (10.12) is no longer supported. - On macOS High Sierra, version 10.13.6 is required.	- Minimum: 4 GB - Recommended: 8 GB - For Polyspace, 4 GB per core is recommended
Processors	Graphics
- 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	- 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 GPU that supports CUDA 3 or newer. See Wikipedia to determine what version of CUDA your GPU supports.
Disk
- Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation - Recommended: An SSD is recommended - A full installation of all MathWorks products may take up to 28 GB of disk space

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Labels: Linux, Mac, Matlab, Matlab 2019b, R2019b, Software, Windows

MATLAB

• Live Editor: Additional heading styles, internal hyperlinks, file merging, and interactive table filtering
• App Building: Scrollable containers, custom figure interactions, tooltips, grid layout manager, and local file upload in deployed web apps
• Web Apps: Share App Designer MATLAB programs as web apps using MATLAB Compiler
• String Arrays: Use string arrays in MATLAB, Simulink, and Stateflow
• Python Interface: Pass multidimensional numeric or logical arrays between MATLAB and Python

MATLAB Online

• Communicate with Raspberry Pi hardware board from MATLAB Online

Database Toolbox

• Interface for Apache Cassandra Database: Explore keyspaces and tables of a Cassandra database and import data as MATLAB types
• Customize Import Options: Define and customize an import strategy for relational database data and avoid post-processing steps on imported data

Global Optimization Toolbox

• surrogateopt Solver: Solve time-consuming bound-constrained optimization problems using fewer objective function evaluations
• paretosearch Multiobjective Solver: Find Pareto sets quickly and accurately for problems with bound, linear or smooth nonlinear constraints

MATLAB Compiler

• Web Apps: Upload and download files between the browser and the server-based deployed web app

MATLAB Production Server

• High-Speed Persistence Storage: Cache and store data in-between calls
• Azure Active Directory Support: Specify access control to individual deployed archives

Model Predictive Control Toolbox

• Nonlinear MPC: Design and simulate model predictive controllers​ with nonlinear prediction models, constraints, and cost functions

Statistics and Machine Learning Toolbox

• Big Data Algorithms: Fit multiclass classification models and perform hyperparameter optimization
• Code Generation: Update a deployed SVM model without regenerating code​ (requires MATLAB Coder)

Text Analytics Toolbox

• Japanese Language Support: Perform text analytics on Japanese language text including tokenization, stop words, lemmatization, and part-of-speech tagging​
• Parse HTML: Extract HTML from specific parts of a web page using HTML structure and CSS classes