Mathworks Matlab R2015a FastDL 64-Bit

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Mathworks Matlab R2015a (64-bit) —

MATLAB language is high and interactive environment used by millions of engineers and scientists from around the world. This allows you to analyze and visualize ideas and collaborate in various disciplines, including signal and image processing,communications equipment, control systems and computational finance.

Put your ideas to life

You can use MATLAB in projects such as modeliranjepotroshuvachkata power to create smart grids, developing control algorithms for hypersonic aircraft, analizuyuchydadenyya timevisualize the path and intensity of hurricanes, and millions of simulations were run to determine the optimal dose of antibiotics.

New opportunities for release

R2015a (Version) — Published March 5, 2015

Many of the new features included in MATLAB R2015a buildsa capabilities introduced in R2014b,vkluchuvajkjigolem improved data, support for new hardware, and integrated documentation for custom tools. Features below for more information.

New features, patches, opinyonpagkakatugma

desktop

Documentation: Documentation for integration of custom tools in MATLAB HelpSearch

Documentation: Determine the functionality introduced

Array Size Limit: Limit the maximum size of the array to prevent accidental kreiranjenapakalakingmatrices

Completion Tab: Full properties and methods of the class, while the class definition file for editing

customizationUI: English Office user interface

Languages ​​and Programming

repelem Function: Repeated copies of the sequence to create a larger array

urifunction now saves formumasiva input cell lines

isenum Function: Determine if a variable is a list of

ms Function: Convertingduration in milliseconds

Publishing Markup: Running external file content

FullFile functions: maintaining double points character

sawaMga issues: Indexing Support

Python version: Support for MATLAB

MATLAB engine for Python: Support for start-up parameters

MATLAB engine for Python: Python Unicode Support

Conversioncharacter string arrays in Java: Saving null character

services WSDLVeb document: Restrictions

Unit testing framework: Tag pagsusuripara sorting and selection

Unit testiranjeRamka: performing tests in parallel

Unit testing framework: Share variables between test scenarios

unitTesting Framework: Use pre-compiled test instrument

Unit testing framework: Comparing objects using angisequaln

Unit Testing Framework: Use homogeneous expected to issue a limited purpose

Git integration management Source: See informationindustry, and delete branches

Matrix C Library: New Features

funktsyyanalnastsbyvshyizbrishani or modified

mathematics

Sample function: numerical Groupdata silo or category

Descriptive statistics: Skip NaN value of basic statistical calculations, including notmore than, min, average, median, amount, cook, and his std

ismembertol uniquetol and functions: Performance comparison using the tolerance range

random generatornumero: Generating random numbers with double precision, SIMD-oriented Fast Mersenne Twister algorithm (dSFMT)

nearestNeighborFunkcija:Defining the nearest point on the border alphaShape

funktsyyanalnastsbyvshy deleted or modified

Import and export data

Stored data: Read the kumpletongsa option «File» ReadSize file ownership

Stored data: Read the data in parallel to the stored datausing the partition function using Parallel Computing Toolbox

webwrite Feature: Transferring Data restful web services using HTTP POST method

webread and WebSave functions: data prebaruvanjeod peaceful Web service method gamitHTTP POST

xlsread and readtable Functions: Readinglarge spreadsheet software Excel file

TextScan and readtableFunktsyi: Handling consistent results when reading a quoted string

Science File Format Library: Upgrade

Functions can be deleted or modified

graphics

drawnowMga Features: Improved performance animation loopa new option

Functions can be deleted or modified

productivity

MapReduce: Running MapReducealgoritam on any machine in the cluster, supporting parallel pool using MATLAB Distributed Computing Server,

interpolation function: to run faster multithreadingcalculations

hardware support

IP Camera: buy video directly from the camera to the Internet Protocol

BeagleBone Black Equipment: Access BeagleBone Black support package of hardware MATLAB BeagleBone Black Hardware

Arduino equipment: Access ArduinoLeonardo and other charges in MATLAB support paketotArduino hardware

ArduinoHardware: A new feature configurePin

Functions can be deleted or modified

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