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MathWorks MATLAB R2015a (32-bit) –

MATLAB is a language is a high-level and interactive environment that is used by millions of engineers and scientists around the world.
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It allows you to explore and visualize ideas and collaborate across disciplines, including signal and image processing, communications, control and financial calculations.

Put your ideas into action

You can use MATLAB in projects such as modeling energieverbruik’n to build smart grid, to develop control algorithms for hypersonic vehicle,weather analyzingfinancial describe the path and intensity of hurricanes, and millions of simulations to determine the optimum dose of the antibiotic.

The new features Release

R2015a (Version) – Release Date: March 5, 2015

Many new features have been built, has a skill in R2014b MATLAB R2015a include improving data, new hardware support, and integrated documentation for individual equipment. erkundenkennzeichnet below for more information.

New features, bug fixes, compatibility considerations

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documentation:The integration of documentation for personal toolbox in MATLAB Help Browser

Documentation: Specify when the function launched

Array size limit: limit the maximum size range for the occurrence of accidents is very large matrix

Ready Tab: all class properties and methods vanKlas definition files while editing

Preferences UI: control language consumers

Languages ​​and Programming

Repelem function: Repeat copy variety of elements to offer a wider range

thetype of function: Now cell bentukarray input string Maintain

isenum function: Determine whether a variable is a summary

Millisecond function: Change the period to a few milliseconds

Publishing format: for the content of external file

Fullfile function: Keep all colon symbol

Python object: support indexing

Python Version: MATLAB Support

MATLAB engine for Python, support for start selecting

MATLAB engine for Python: Unicode support in Python

Conversion Equipment characters in JavaStrings: Maintaining the zero

WSDLWeb Services document: Limit

Unit testing framework Test Tags for categorization and selection

Unit testing framework, test run in parallel

Unit testing framework: Variable part of the tests in script

Unit testing framework: The use of prepared test plan

Unit Testing Framework comparable objects with isequaln

Unit Summary Working test: Use the causes of homogeneous expectations restrictions Fling

Git Source Control Integration: See the informationrelays and branches removed

Matrix C Library: New Features

fungsidikeluarkan or change

mathematics

discretize function: group numeric data into a barrel or Category

descriptive statistics: Omit value NaN in the calculation of basic statistics, like Max, min, average, median, sum, var, st and COV

ismembertol and uniquetol function: Do comparative amount of tolerance

Number Random: Generate random numbers with double precision, SIMD-oriented Fast Mersenne Twister (dSFMT) algorithm

NearestNeighborFunction: Define the border point alpha form

fungsidikeluarkan or change

Data import and export

Datastore: Read the complete file with the “File” for property Read Size

Datastore read data in parallel from the data storage distribution function Parallel Computing Toolbox

Webwrite function: data to send REST Web services using HTTP POST method

webread and WebSave functions: data requests from REST Web Service HTTP POST

xlsread and ReadTable Function: Read a file larger spreadsheet softwareExcel

and textSCAN ReadTable function: Back consistent results when reading plucked string

wetenskaplikeBiblioteke File Type: Upgrade

Remove or change function

graphic

drawNow function: Improving the performance of the animation course with new options

Remove or change function

power

MapReduce: Play on any computer group that supports the MapReduce algorithm, a parallel MATLAB distributed computing server

Interpolation function: faster running with a multi-threaded calculation

hardwaresupport

IP cameras: Memperolehvideo directly vanafdie Internet protocol camera

BeagleBone Black Hardware: hardware access BeagleBone black with MATLAB support package for BeagleBone Black Hardware

Hardware Arduino: Arduino Leonardo and access to other styles support package for MATLABArduino Hardware

Arduino hardware: function configurePin New

Remove or change function

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