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Worldwide-used language for technical computing and data visualization, specifically designed to find solutions to scientific and mathematical problems

What's new in MATLAB R2020b:

• Environment:
• MATLAB Online Accessibility: Use a screen reader to interact with the Command Window and create scripts and functions
• Live Editor Images: Add alternative text to images
• Live Editor Images: Change the size of images

Read the full changelog

MATLAB's name comes from 'matrix laboratory' and is known as a trademark when it comes to technical computing and scientific problem-solving. Providing a powerful high-level scripting language and a robust computing environment altogether, MATLAB is widely used by scientists and engineers in various domains, including machine learning, communications, control design and robotics, image or signal processing, and more.

The home of computational mathematics

Combining robust data analysis and visualization features with a full-featured code editor, MATLAB can create scripts and functions, figures, as well as 2D and 3D figure-based apps with graphical user interfaces. Additionally, it can carry out domain-specific tasks, such as data classification or curve fitting.

One of the advantages of MATLAB is that it allows convenient data manipulation and plotting. It can generate 2D or three-dimensional graphs to visualize data, while also providing the tools to select and process large amounts of data in an interactive manner.

Additionally, its set of functions can be further enriched using optional toolboxes, addons and proprietary apps to allow it to address domain-specific problems.

A powerful editor that can interact with other languages

The programming environment of MATLAB comprises a multi-tab editor for scripts, a workspace manager, and a rich toolset for handling variables, run code analysis, plot data, perform debugging, or edit and publish code. Whether you just need to analyze datasets, or want to create a model or implement an algorithm, MATLAB can provide valuable assistance.

The major plus of MATLAB is also what makes it so popular among engineers and scientists - its capability to allow users to express their ideas in a natural manner and write code that is both easy to read and update.

Additionally, it features elements of object-oriented programming, source control integration, testing and error handling that are specific to more traditional programming languages, making it possible for MATLAB code to interact with C/C++, Python, NET, or Java functions and libraries.

A scripting language with a long history behind it

With a long history that speaks for itself, MATLAB can perform difficult mathematical computations and help you implement algorithms to solve various problems. Encouraging exploratory programming, MATLAB displays the code and the result side-by-side, streamlining the entire workflow and increasing productivity.

Aside from standard coding, it allows advanced data analysis, application creation, and model-based design. Its versatility and robust toolset turned it into a top choice in practice when it comes to designing safety systems for cars, health monitoring devices, cellular networks, and much more.

Filed under

MATLAB was reviewed by Mihaela TeodoroviciLIMITATIONS IN THE UNREGISTERED VERSION

• 30-day trial (personal account required)

SYSTEM REQUIREMENTS

• Any Intel or AMD x86-64 processor
• AVX2 instruction set support is recommended
• With Polyspace, 4 cores is recommended
• 2 GB for MATLAB only, 4–6 GB for a typical installation
• RAM: 2 GB (With Simulink, 4 GB is required; With Polyspace, 4 GB per core is recommended)
• Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended

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MATLAB R2020b

add to watchlistsend us an update

runs on:

Windows Server 2016
Windows 10 64 bit
Windows Server 2012
Windows 2008 R2
Windows 8 64 bit
Windows 7 64 bit

file size:

2.8 GB

filename:

MATLAB_Runtime_R2020b_win64.zip

main category:

Programming

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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

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 Free download materi ipa sd kelas 6.

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

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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

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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

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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