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Mathworks Matlab R2015a (64-Bit) Full Edition

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Description

 							MATLAB® is the high-level language and interactive environment used by millions of engineers and scientists
worldwide. It lets you explore and visualize ideas and collaborate across disciplines including signal and image
processing, communications, control systems, and computational finance.
  
  Put your ideas into action
 
You can use MATLAB in projects such as modeling energy consumption to build smart power grids, developing control
algorithms for hypersonic vehicles, analyzing weather data to visualize the track and intensity of hurricanes, and
running millions of simulations to pinpoint optimal dosing for antibiotics.
  
  New Features By Release

 
  R2015a (Version 8.5) - Released 5 Mar 2015
  
  Many new features included in MATLAB R2015a build off
of capabilities introduced in R2014b, including big data enhancements, new hardware support, and integrated
documentation for custom toolboxes. Explore the features below for more information.
  
  New Features, Bug
Fixes, Compatibility Considerations
  
  Desktop
  Documentation: Integrate documentation for custom
toolboxes into the MATLAB Help Browser
  Documentation: Determine when feature introduced
  Array Size Limit:
Limit maximum array size to prevent unintended creation of very large matrices
  Tab Completion: Complete class
properties and methods while editing class definition files
  User Interface Preferences: Control user interface
language
  
  Language and Programming
  repelem Function: Repeat copies of array elements to create a
larger array
  sort Function: Now preserves shape of cell array of string inputs
  isenum Function: Determine
if variable is enumeration
  milliseconds Function: Convert duration to number of milliseconds
  Publishing
Markup: Include external file content
  fullfile Function: Maintain all double-dot symbols
  Python Objects:
Indexing Support
  Python Version 3.4: MATLAB Support
  MATLAB Engine for Python: Support for startup
options
  MATLAB Engine for Python: Support for Unicode in Python 2.7
  Conversion of Character Arrays to Java
Strings: Preserve null characters
  WSDL Web Services Documents: Limitations
  Unit Testing Framework: Tag
tests for categorization and selection
  Unit Testing Framework: Run tests in parallel
  Unit Testing
Framework: Share variables between tests in scripts
  Unit Testing Framework: Use prebuilt test fixtures
 
Unit Testing Framework: Compare objects using isequaln
  Unit Testing Framework: Use homogeneous expected causes
with Throws constraint
  Git Source Control Integration: View branch details and delete branches
  C Matrix
Library: New functions
  Functionality being removed or changed
  
  Mathematics
  discretize
Function: Group numeric data into bins or categories
  Descriptive Statistics: Omit NaN values in basic statistical
calculations, including max, min, mean, median, sum, var, std, and cov
  ismembertol and uniquetol Functions:
Perform set comparisons using a tolerance
  Random Numbers: Generate random numbers using the double-precision,
SIMD-oriented Fast Mersenne Twister (dSFMT) algorithm
  nearestNeighbor Function: Determine nearest alphaShape
boundary point
  Functionality being removed or changed
  
  Data Import and Export
  Datastore:
Read one complete file with 'file' option for ReadSize property
  Datastore: Read data in parallel from a datastore
with partition function using Parallel Computing Toolbox
  webwrite Function: Send data to RESTful Web services
using HTTP POST method
  webread and websave Functions: Request data from RESTful Web services using HTTP POST
method
  xlsread and readtable Functions: Read larger spreadsheet files from Excel software
  textscan and
readtable Functions: Return consistent results when reading quoted strings
  Scientific File Format Libraries:
Upgrades
  Functionality being removed or changed
  
  Graphics
  drawnow Function: Improve
performance in animation loops with new option
  Functionality being removed or changed
  
 
Performance
  MapReduce: Run mapreduce algorithms on any computer cluster that supports parallel pools using MATLAB
Distributed Computing Server
  Interpolation Functions: Execute faster with multithreaded calculations
  
  Hardware Support
  IP camera: Acquire video directly from Internet Protocol cameras
  BeagleBone Black
Hardware: Access BeagleBone Black hardware with the MATLAB Support Package for BeagleBone Black Hardware
  Arduino
Hardware: Access to Arduino Leonardo and other boards with the MATLAB Support Package for Arduino Hardware
 
Arduino Hardware: New configurePin function
  Functionality being removed or changed 						

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