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
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
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.
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