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Matlab R2018a (9.4)

Matlab r2017 icon
Namematlab
Size39.50 GB
Created onUnknown
Hash1361f4d29bdbfe454819ba16b515d184709d8fed
Filesmatlab (39.50 GB)

Matlab R2018a (Win&Linux&Mac) + Crack

Name: MATLAB
Version: 9.4 R2018a
Developer: The MathWorks Inc
Mac Platform: Intel
OS Version: OS X 10.11 or later
Processor type(s) & speed: 64-bit processor

Includes: K

Web Site: http://www.mathworks.com/products/matlab/

Overview

Integrates mathematical computing, visualization and a language to provide a flexible environment for technical computing, visualization and programming

MATLAB is an advanced interactive environment specially designed to greatly boost your productivity while performing numerical computation, programming and visualization tasks on a Mac.

Multi-paradigm numerical computing environment

With the help of MATLAB, you can analyze data, create applications, models and develop algorithms and, furthermore, thanks to its large selection of inbuilt tools, as well as language and built-in mathematical algorithms you can scrutinize various approaches and find a solution much faster than with traditional programming languages and spreadsheets.

MATLAB can be used for a wide variety of applications that range from communications and signal processing to control systems, video processing, computational finance and biology, test and measurement.

Numeric computation

You can use MATLAB’s built-in mathematical tools to solve all sorts of engineering and science problems. The provided numerical computation methods can help you develop algorithms, analyze data or create models.

The MATLAB language cover numerous mathematical functions with support for popular science and engineering operations. Vector and matrix calculations are smoothly executed thanks to the processor-optimized libraries used by the core math functions.

Data analyzer and visualizer

Furthermore, MATLAB comes with the necessary tools to collect, analyze and visualize data in order to gain a better understanding of your data. You can also document and share the obtained results using complex plots and reports.

What is more, you can acquire data from files, databases, external devices or other applications. MATLAB features support for spreadsheet files, text and binary files, multimedia files, as well as netCDF and HDF files.

Once the data is collected, you can manage, filter and pre-process it, perform exploratory data analysis and reveal trends, test assumptions and construct descriptive models. On top of that, you can also use the built-in 2D and 3D plot functions along with the volume visualization functions to display your data.

Flexible MATLAB language

The MATLAB language offers native support for matrix and vector operations that you can use to solve a plethora of problems from different fields.

Moreover, you can write programs and create algorithms without performing low-level administrative tasks. In your development process you can take advantage of numerous development tools, deploy applications and even generate standalone C code.

What’s new in Matlab R2018a (9.4)

March 15th, 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
  • 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
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
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
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
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
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

Screenshots

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