MATLAB R2017a Free Download For Pc

MATLAB R2017a Free Download For Pc

 

MATLAB R2017a is a high-performance technical computing language developed by MathWorks. It provides complete solutions and facilities for engineers, mathematicians, and data analysts in data analysis, exploration, and visualization. It also helps in developing machine learning models, working with big data, and operationalizing analytics to production systems.

Matlab 2017 torrent also allows users to perform automated training to search for the best regression model type, including linear regression models, regression trees, Gaussian process regression models, support vector machines, and ensembles of regression trees. With the help of the new Regression Learner, users can explore their data, select features, specify validation schemes, train models, and assess results.

MATLAB 2017 is one of the best high-performance technical computing languages and we highly recommend it for complex calculations. For deep learning, embedded vision, and autonomous systems it supports CUDA Code Generation from MATLAB. This Code can be integrated into the project as source code, static libraries, or dynamic libraries, and can be used for prototyping on GPUs such as the NVIDIA Tesla and NVIDIA Tegra.

MATLAB also known as Mat-Lab, is a high-performance programming languages tool for technical computing & MathWorks. Download Matlab to create an easy-to-use desktop environment where mathematical problems and their solutions are expressed in familiar mathematical notation.

Download MATLAB for PC to combine a desktop environment with a programming language that expresses matrix and array mathematics directly. Matlab integrates computations that are typically used for mathematical computation, data analysis, exploration, and visualization.

 

Matlab for PC R2017a Download Overview

MATLAB R22017a toolbox is a professionally developed, documented, and tested tool. MATLAB enables you to see how different algorithms work with your data and its Iterate until you got your desired results. Matlab auto generates a MAT LAB for Windows program to reproduce and automate your work.

MatLab keygen includes the live editor for creating scripts that combine code, output, and formatted text in an executable notebook. Whether you’re analyzing data, developing algorithms, or creating models, MATLAB is designed for the way you think and the work you do.

Matlab Best Features and Highlights

• High-level language tool for mathematical, scientific, and engineering computing.
• Provide a suitable desktop environment for iterative exploration, design, and problem-solving.
• Provides best graphics for visualizing data and tools for custom plots
• Math Lab Apps for curve fitting, data classification, signal analysis, and many other domain-specific tasks
• Additional toolbox for engineering and scientific apps.
• Program for building apps with custom user interfaces.
• Interfaces to C/C++, Java, .NET, Python, SQL, Hadoop, and Microsoft Excel

 

Features of MATLAB R2017a

• Highly recommended a tool for complex technical calculations
• Specific modeling styles to partition design for real-time scheduling
• Simulink Functions to map to diagnostic and memory services
• Loaded with tools for requirements modeling, test coverage, and analysis
• Generate CUDA code from MATLAB code embedded vision
• Provides real-time software modeling and analysis

What’s new in MATLAB  R2017b

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
• Live Editor: Automatically match delimiters and wrap comments while editing code
• Live Editor: View and scroll through table data, including variable and row names
• Live Editor: Check code for errors and warnings using the message bar and message indicator
• 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
• Command Window: View updated display for cell arrays
• Language and Programming
• Code Compatibility Report: Generate a report that helps the updating of code to a newer MATLAB release
• isStringScalar Function: Determine whether the input is a string array with one element
• convertStringsToChars and convertCharsToStrings Functions: Enable your code to accept all text types as inputs without otherwise altering your code
• array fun, cell fun, and structure Functions: Return object arrays as output arguments
• Scripts: Run sections in scripts containing local functions
• file and folder Functions: Determine if the input is a file or a folder
• Functionality being removed or changed

MATHEMATICS:

• decomposition Object: Solve linear systems repeatedly with improved performance
• seminorm Function: Find the minimum-norm solution of underdetermined linear system
• dissect Function: Reorder sparse matrix columns using nested dissection ordering
• venom Function: Compute vector-wise norms of arrays
• poly shape Object: Create, analyze, and visualize 2-D polygons
• eigs Function: Improved algorithm and new options
• DVDs Function: Set options with name-value pairs
• Interpolation Functions: Method for modified Akima cubic Hermite interpolation
• cover Function: Compute convolutions on multidimensional arrays with improved performance
• subgraph and highlight Functions: Specify graph nodes with logical vector
• Functionality being removed or changed

GRAPHICS:

• bubble Function: Create an interactive map with bubbles whose size and color vary with data values
• word cloud 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
• Chart Colors: Create bar and area charts with new default colors
• Axes Object: Specify the target axes for more functions
• Functionality being removed or changed
• Data Import and Export
• Custom Datastore: Build a customized datastore
• datastore Function: Work with data stored in Windows Azure Blob Storage
• datastore Function: Access Hadoop HDFS data more easily
• FileDatastore Object: Create uniform output from the datastore
• HDF5 Functions: Create datasets, groups, attributes, links, and named datatypes using non-ASCII characters
• Web services: Skip server name verification in certificates
• JSON encode Function: Encode NaN and Inf as null
• Functionality being removed or changed

DATA ANALYSIS:

• change Function: Detect abrupt changes in data
• is local in 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 fill missing, filter, median, polyfit, and synchronize
• tall Array Indexing: Use subscripted assignment with tall arrays
• telling Function: Control random number generator used by tall arrays
• timetable Data Container: Specify whether each variable in a timetable contains continuous or discrete data using the VariableContinuity property
• mink and max Functions: Find the k smallest or largest elements in an array
• topkrows Function: Find the k top rows in sorted order for numeric arrays, tables, and timetables

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
• App Designer: Improved component Properties pane in Code View
• App Designer: Edit tick labels for gauges, knobs, and sliders directly on the canvas
• Aintree and Freenode Functions: Create trees and tree nodes in apps
• I confirm 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
• iPhone and Android Sensors: Log sensor data locally on Android or iOS devices for later analysis

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
• Compiler support changed for building MEX files and standalone MATLAB engine and MAT-file applications
• Python Version 3.6: MATLAB support
• Perl 5.24.1: 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
• Unit Testing Framework: Generate an HTML report of a test run
• Unit Testing Framework: Write tests as live scripts
• Unit Testing Framework: Specify additional diagnostics to evaluate upon failures using the onFailure method
• Performance Testing Framework: Define multiple measurement boundaries in test methods
• Mocking Framework: Construct mocks for classes that have Abstract methods with other attributes
• Source Control Integration: Show differences from parent files and save copies in Git Branches
• Functionality being removed or changed

System Requirements for MATLAB R2017a

• Operating Systems (win XP, win Vista, win 7, win 8 and win 10)
• Installed Memory (RAM): 2 GB
• 12 GB HDD
• File Name: MATLAB_R2017a_x64.zip
• File Size: 9.61 GB
• Developers: MathWorks

Download MATLAB R2017a Free

Click on the button given below to download MATLAB 2017 free setup. It is a complete offline, standalone setup of MATLAB 2017.