Mathworks MATLAB R2017b 9.3.0.713579

Mathworks MATLAB R2017b 9.3.0.713579

RELEASE INFO:

Mathworks MATLAB R2017b 9.3.0.713579 | 11.5 GB

Software version: R2017b (9.3.0.713579)
Language: English
Platform: x64 (64bit)
Developer: mathworks
Medicine: Ready-made serial (reg-file)
Follow the instruction to install.

System requirements: Windows 10 Windows 8.1 Windows 8 Windows 7 Service Pack 1 Processors Any Intel or AMD x86-64 processor With Polyspace, 4 cores is recommended Disk Space 2 GB for MATLAB only, 4-6 GB for a typical installation RAM 2 GB With Simulink, 4 GB is recommended With Polyspace, 4 GB per core is recommended Graphics
No specific graphics card is required.
Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended.

MATLAB (abbreviation for "Matrix Laboratory":wink: is a software package for solving technical computing tasks and the programming language of the same name used in this package. Using MATLAB created by MathWorks, you can easily perform matrix calculations, visualize mathematical functions and experimental data, implement computational algorithms, design a graphical user interface for solving specific problems, and interact with other programming languages and programs via special interfaces.

MATLAB is a high-level language of technical calculations, an interactive environment for developing algorithms and a modern data analysis tool. MATLAB compared with traditional programming languages (C / C ++, Java, Pascal, FORTRAN) allows to shorten the time for solving typical tasks by an order of magnitude and greatly simplifies the development of new algorithms. MATLAB is the foundation of the entire MathWorks family of products and is the main tool for solving a wide range of scientific and applied tasks in such areas as: object modeling and control system design, communication system design, signal and image processing, signal measurement and testing, financial modeling, computational biology, etc.

What’s New?

Desktop

Live Editor: Write MATLAB commands with automated, contextual hints for arguments, property values, and alternative syntaxes
Live Editor: Export live scripts to LaTeX format
Live Editor: Display high-resolution plots in PDF output
Live Editor: Horizontally align text, equations, and images
Documentation: Use the Live Editor in a web browser to open, edit, and run MATLAB online documentation examples
MATLAB Drive: Store, access, and manage your files from anywhere
Add-On Manager: Customize your MATLAB environment by enabling and disabling add-ons
Add-On Manager: Find installed add-ons faster using sort and search
Toolbox Packaging: Create a Getting Started Guide for your toolbox from a Live script template
Toolbox Packaging: Share your toolbox on File Exchange directly when you package it

Language and Programming
Code Compatibility Report: Generate a report that helps the updating of code to a newer MATLAB release

Mathematics
decomposition Object: Solve linear systems repeatedly with improved performance
lsqminnorm Function: Find minimum-norm solution of underdetermined linear system
dissect Function: Reorder sparse matrix columns using nested dissection ordering
vecnorm Function: Compute vector-wise norms of arrays
polyshape Object: Create, analyze, and visualize 2-D polygons
Graphics

geobubble Function: Create an interactive map with bubbles whose size and color vary with data values
wordcloud Function: Display words at different sizes based on frequency or custom size data
binscatter Function: Visualize data density with dynamic bin size adjustment
Tall Array Support: Visualize out-of-memory data using plot, scatter, and binscatter
heatmap Function: Sort rows and columns and use custom labels in a heatmap
bar Function: Control individual bar colors

Data Import and Export
Custom Datastore: Build a customized datastore
datastore Function: Work with data stored in Windows Azure Blob Storage

Data Analysis
ischange Function: Detect abrupt changes in data
islocalmin and islocalmax Functions: Detect local minima and maxima in data
rescale Function: Scale data to a specified range
tall Arrays: Operate on tall arrays with more functions, including fillmissing, filter, median, polyfit, and synchronize
timetable Data Container: Specify whether each variable in a timetable contains continuous or discrete data using the VariableContinuity property

App Building
App Designer: Create apps with a wide variety of 2-D and 3-D plots
App Designer: Add menus to an app from the Component Library
App Designer: Specify input arguments when running an app
App Designer: Add a summary, description, and screenshot for app packaging and compiling
uitree and uitreenode Functions: Create trees and tree nodes in apps
uiconfirm Function: Create modal in-app confirmation dialog boxes
Toolbox Packaging: Add App Designer apps to the Apps Gallery upon toolbox installation
MATLAB Online: Run App Designer apps in MATLAB Online

Performance
App Designer: Load apps faster
Execution Engine: Improved performance for vectorized math on CPUs with AVX2
Live Editor: Run live scripts with loops faster

Hardware Support
Arduino: Wirelessly connect to Arduino boards using low-cost Bluetooth adaptors
Arduino Setup UI: Set up a connection to your Arduino board over USB, Bluetooth, or WiFi
Arduino Plug-In Detection: Discover available Arduino support and examples when plugging a compatible Arduino board

Advanced Software Development
MATLAB Engine API for C++: Run MATLAB code from C++ programs with object-oriented programming support and asynchronous execution
MATLAB Engine API for C++: Pass data between C++ programs and MATLAB using MATLAB Data Array
Java SE 8: MATLAB support, providing improved security and access to new Java features
MinGW 5.3: MATLAB support
Microsoft Visual Studio 2017: MATLAB support for Microsoft Visual Studio 2017 Community, Professional, and Enterprise editions
Python Version 3.6: MATLAB support
MATLAB Handle class method: Add a listener for an event without binding the listener to the source object
Unit Testing Framework: Provide code coverage reports in the Cobertura format for improved continuous integration workflows

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