The document outlines 12 key features of MATLAB, including its high-level programming capabilities, interactive environment, and extensive mathematical functions library. It describes MATLAB's ability to handle various data types and formats, interfacing with other programming languages, and support for parallel computing. Additionally, it highlights MATLAB's integrated environment for easy data access and processing, as well as its applications in machine learning and multi-platform development.

1. Features of MATLAB
Submitted To :-
Dheeraj Joshi
Submitted By :-
Rahul Dhukiya

2. Content :-

3. There are 12 types of features in
MATLAB :-
1. High Level Language
2. Interactive Environment
3. Handling Graphics
4. Mathematical Functions Library
5. Application Program Interface
6. Toolboxes
7. Accessing Data
8. Interfacing with Other Language
9. Data Processing
10.Machine Learning, Neutral Networks,
Beyond Statics
11.Text Analysis
12.Multi Platform Development

4. MATLAB can natively support the
sensor, video, image, telemetry,
binary, and various real-time data
from JDBC/ODBC databases.
Reading data from different
databases, CSV, audio, images, and
video is super simple from an
integrated environment

5. Libraries written in Perl, Java,
ActiveX or NET can be directly
called from MATLAB, and
many libraries for XML or SQL
support can be employed as
wrappers around Java or
ActiveX libraries.

6. A vast library of mathematical functions for
linear algebra, Fourier analysis, filtering,
statistics, optimization, numerical integration
and solving ordinary differential equations.
MATLAB’s numeric routines scale openly to
parallel processing over clusters and clouds.
Parallel Computing Toolbox distributes
training across multicore CPUs graphical
processing units (GPUs), and clusters of
computers with multiple CPUs and GPUs.