What is Matlab?
MATLAB is used for a wide range of applications, in industries and academics, including machine learning and deep learning, signal processing and communications, test and measurement, image and video processing, control systems, computational finance, and computational biology by millions of engineers and scientists worldwide.Matlab program and script files always save by giving filenames ending with ".m" extension such as ‘program.m’.
The full form of MATLAB is Matrix Laboratory. It is a programming language developed by MathWorks which operates as a communal programming circumstances.
It is mainly used as a matrix programming language where linear algebra programming was easy and simple. It can be use both under interactive sessions and as a bunch job.
MATLAB is used for scientific and technical computing, it is a high-performance language. MATLAB allow students to give fluidity in MATLAB programming language. It collaborates computation,calculation, visualization, and programming in an easy-to-use and simple domain where problems and solutions are show in recognizable mathematical symbols. Problem-oriented MATLAB samples have been expressed in simple and easy way to build your learning fast and successful.
It permits matrix manipulations; develop algorithms; representation of functions and data; creation of user interactions; implementation of algorithms; interfacing with programs written in other languages, such as C, C++, Java, and FORTRAN; analyze data; and create models and applications.
MATLAB contains a large variety of predefined commands and math functions that assist you in mathematical calculations, solving numerical problems and generating models.
MATLAB is acclimated in every part of computational mathematics.
Several widely used mathematical calculations exactly where it's utilized i.e
Features of MATLAB:
Drawbacks or disadvantages of MATLAB:
MATLAB usually takes more time to execute as compared to compiled languages for example, C, C++ because it is an interpreted or explicit language . It really is expensive as compared to regular C or Fortran compiler. While there is no "free" versions of Matlab is available on the internet, there is a certified license, which works until this date. After this date,it will be expired. It is expensive to purchase for Individuals.
There is no free version of MATLAB is available for students also.
It requires fast computer with large amount of memory.
There are some basic difference between matlab and C are: -
- Untyped language (no need to declare variable data type and size before using them)
- Built -in defination of matrix data type
- Built-in complex variable data type
- Change in variable size allowed without programming
- Extensive support for linear algebra and application-specific libraries organized in toolboxes
- Rich built-in visualization
- Strictly typed language (must declare variable data type and size before using them)
- No build-in definition of a matrix data type
- No complex variable data type
- Changes in variable size allowed explicitly through dynamic memory allocation
- No support for linear algebra and application specific libraries
Matlab - array calculation: -
|Addition, ( x + y )||‘+’||( X + Y )|
|Subtraction, ( x – y )||‘-‘||( X – Y )|
|Multiplication, ( x * y )||‘*’||( X * Y )|
|Division, ( x / y )||‘/ or inv()’||( X / Y ) = X * inv( Y )|
|Exponentiation, ( xT )||‘||X’|
Matlab – scalar and array operation:
|Element by element operation|
x = [ x1, x2, … , xn], y = [y1, y2, [ ], yn ], z = ( <x scalar> )
|Scalar addition||x + z = [ (x1 + z), (x2 + z), …., (xn * z) ]|
|Addition of array||x + y = [ (x1 + y1), (x2 + y2), ….., (xn + yn) ]|
|Multiplication of array||x * y = [ (x1 * y1), ( x2 * y2), …., ( xn * yn) ]|
|Division of array||x / y = [ (x1 / y1), (x2 / y2) , …., (xn / yn) ]|
|Exponentiation of array|
x ^ z = [ (x1 ^ z), (x2 ^ z), …., (xn ^ z)]
z ^ x = [ (z ^ x1), (z ^ x2), …., (z ^ xn)]
x ^ y = [ (x1 ^ y1), (x2 ^ y2), …., (xn ^ yn)]
Array addressing: -
|A ( r, z )||Indicates the elements by the rth row and the zth column|
|A ( r, : )||Addresses the subarray just A described through the index vector associated with preferred rows in r as well as all columns|
|A ( :, z )||Addresses the subarray just A described through all rows as well as the index vector associated with preferred columns in z|
|A ( x : y, z : u)||Addresses a subarray within A intersected by the rows from x to y and the column from z to u|
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