Mathworks Matlab R2016b X64-CYGiSO

Language: English

Category: Software

Posted on 2016-11-09, by manhneovn.


Mathworks Matlab R2016b X64-CYGiSO | 8.01 GB

MATLAB® is the easiest and most productive software for engineers and scientists. Whether you're analyzing data, developing algorithms, or creating models, MATLAB provides an environment that invites exploration and discovery. It combines a high-level language with a desktop environment tuned for iterative engineering and scientific workflows.
Key Features
High-level language for scientific and engineering computing
Desktop environment tuned for iterative exploration, design, and problem-solving
Graphics for visualizing data and tools for creating custom Descriptions
Apps for curve fitting, data classification, signal analysis, and many other domain-specific tasks
Add-on toolboxes for a wide range of engineering and scientific applications
Tools for building applications with custom user interfaces
Interfaces to C/C++, Java®, .NET, Python®, SQL, Hadoop®, and Microsoft® Excel®
Royalty-free deployment options for sharing MATLAB programs with end users

R2016b (Version 9.1) - 14 Sep 2016

​Live Editor: Pan, zoom, and rotate axes in output figures​
Live Editor: Create and edit equations interactively using the equation editor​
Live Editor: Create new sections and format text quickly using autoformatting​
Command Window: View updated display for arrays, including headers indicating class, size, and shape
Product Trials: Download trials for MathWorks products using Add-On Explorer​
Toolbox Packaging: Include live script examples, generate info.xml and helptoc.xml templates for custom documentation, and modify Java class path on installation

Language and Programming
Functions in Scripts: Define local functions in scripts for improved code reuse and readability
string Array: Manipulate, compare, and store text data efficiently​
timetable Data Container: Manage time-stamped tabular data with time-based indexing and synchronization​​​
timerange Function: Access all data in a specified date and time range in a timetable
vartype Function: Access all variables of a specified datatype in a table
table Data Container: Reference all variables in a table with compatible types using the Variables property
dir Function: Search for folders and subfolders recursively

Implicit Expansion: Apply element-wise operations and functions to arrays with automatic expansion of dimensions of length 1
graph and digraph Objects: Compute graph isomorphism, biconnected components, cut vertices, and node condensation
graph and digraph Objects: Visualize graphs and networks in 3-D
digraph Object: Reverse edge directions in a directed graph using the flipedge function

Date and Time Descriptionting: Use datetime or duration data in common Descriptionting functions, and customize Descriptions with datetime and duration rulers
polarscatter and polarhistogram Functions: Create scatter and histogram Descriptions in polar coordinates
fimplicit and fimplicit3 Functions: Description implicit functions of the form f(x,y) = 0 and f(x,y,z) = 0
Tick Formatting Functions: Customize text, position, rotation, and format for axis tick labels
errorbar Function: Create vertical and horizontal error bars and control hat width
Description Function: Control location and frequency of markers with the MarkerIndices property

Data Import and Export
readtable Function: Autom​atically detect and return date and time data in text and spreadsheet files
dete​ctImportOptions Function: Detect layout of text and Excel files and customize import options to readtable​
VideoReader Object: Read video frames more quickly from MP4 and MOV files on Windows systems
imageDa​tastore Function: Read batches of images for faster processing in machine learning and computer vision applications
TallDatastore Object: Efficiently retrieve preprocessed and cleaned-up data saved using the write function of the MATLAB tall arrays
jsondecode, jsonencode Functions: Encode and decode structured data in JSON-formatted text

Data Analysis
tall Arrays: Manipulate and analyze data that is too big to fit in memory
Missing Data Functions: Find, fill, and remove missing data from arrays or tables with ismissing, standardizeMissing, fillmissing, and rmmissing
Cumulative Functions: Ignore NaNs using 'omitnan' in cumsum, cummin, and cummax
discretize Function: Discretize datetime and duration arrays to separate time-stamped data into regular time intervals
Constrained Pan and Zoom: Pan or zoom in a single dimension for 2-D and 3-D Descriptions

App Building
App Designer: Include common 2-D Descriptions in apps, such as area, bar, contour, histogram, yyaxis, and function Descriptions
App Designer: Create legends for 2-D Descriptions in apps
App Designer: Embed tabular displays using uitable in apps
App Designer: Create callback functions that can be shared across multiple components
App Designer: Add, position, and resize labeled components, and create components with names derived from labels

Graphics Display: Render Descriptions with large numbers of markers faster using less memory
Execution Engine: Execute tight loops with scalar math faster​​
Execution Engine: Construct objects faster​​​

Hardware Support
​iPhone and Android Sensors: Log data from mobile sensors on the MathWorks Cloud over a Wi-Fi or cellular network​
Arduino: Write to shift registers
Raspberry Pi: Generate PWM signals and control servo motors from GPIO pins on Raspberry Pi
Raspberry Pi: Support for Raspberry Pi 3 Model B
Raspberry Pi: Read​ from sensors and write to the LED matrix on a Raspberry Pi Sense HAT​

Advanced Software Development Object: Access HTTP services with low-level protocol control
MATLAB Engine API for Java: Run MATLAB code from Java programs
matlab.mixin.SetGet: Allow inexact property names by default in calls to set and get
Unit Testing Framework: Generate Microsoft Word or Adobe PDF reports of a test run
Unit and Performance Testing Frameworks: Improve code reuse and readability by using local functions in script-based tests


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