Table of Contents

**What is MATLAB**

Matlab provides a platform to perform various computational tasks that are mostly mathematical and analytical. So, it is an absolutely secure and efficient proprietary programming language that allows the user to perform mathematical computations at different levels. Furthermore, it provides a strong multi-paradigm that allows the user to execute computation at all levels.

Moreover, various mathematical engineers and data analyst are using Matlab to compile extremely complex data of mathematical and analytics. Matlab programming language was developed by MathWorks. Therefore, the platform is commercially popular among all the fields of engineering as it allows dynamic functionalities for the users.

Besides, these days students are taking more interest in learning Matlab. Matlab is the most widely preferred platforms among the students as it is quite easy to use. Thus, it provides access to various technical computing as well. The reason is being that it is considered as high-performance programming among others.

**Learn About Matlab Systems**

The Matlab stands for Matrix Laboratory. So, the Matlab systems are capable of plotting the functions and various data types, very efficient in implementing algorithms, developing several user-interface and most importantly capable of interfacing and synchronizing with other programming languages. There are many uses of Matlab Sytems

- Application development, including Graphical User Interface building
- Math and computation
- Algorithm development
- Data analysis, exploration, and visualization
- Modelling, simulation, and prototyping
- Scientific and engineering graphics

Engineers and Scientists all over the world are using Matlab for various purposes. So, it comprises of diverse and versatile functionalities that could be used to analyze and design large computational systems. Moreover, the most intriguing feature of Matlab that allows its programs to be integrated with other languages is appreciated by the engineers a lot. So, this feature helps the engineers to deploy algorithms and application with any cluster of the cloud. Also, they can integrate it with any enterprise and productions systems.

### The Matlab Programming Language

It is a matrix-based language. It controls the fundamental functions, data structures, flow statements, and input/output commands. Therefore, it is capable of integrating itself with other object-oriented programming languages.

It is a much versatile programming language. So, the users are able to create small-scale to large-scale programs without any difficulty. Complex applications are created using Matlab Programming Language.

If you ever want to learn Matlab Programming language, you should consult with experts that have core knowledge of Matlab Programming. There are a lot of experts in the market but you will need to find the reliable assignment writing service to ensure you get the best guidance for your Matlab Programming Assignment.

### Working Environment of Matlab

The matrix-based programming language allows a diverse computational environment. The environment is designed especially for mathematical and technical computations. Also, there are various facilities in this environment. The facilities like managing the variables, importing and exporting the data. Hence, various user-friendly tools that are extremely useful for developing, compiling, debugging various Matrix Files.

Various automation industries and mechanical engineers are using Matlab in their work. The main reason is that it enables the user to demonstrate the data in a more concise manner. The user-interface Matlab is very easy to use but you will need to brush up your programming skills to learn how to program using Matlab programming language. It is recommended to take computer science assignment help for Matlab Assignments.

### Special Feature Of Matlab Programming

The Matlab’s features are widely appreciated and popular among all the levels of users. Whether it be a student or scientist, they never lose the opportunity to discuss the Matlab graphics system. There are high-level commands used specifically for creating and designing graphical user-interface for Matlab applications. These features also include data-visualization, animation, image processing and graphical presentations.

The other features include functionalities to perform basic to complex mathematical computations such as sine, cosine, applied mathematics and complex arithmetic. Other complex computations such as matrix inverse, Bessel functions, fast Fourier transforms and eigenvalues.

### The Application Program Interface of Matlab

The API systems of Matlab has got many library functions. So, these libraries could be used to program object-oriented programming applications, C programming and Fortran Programs. Moreover, they could be easily integrated with Matlab. Therefore, the Matlab computational engine is very efficient for using integrated systems for mathematical transitions.

**How To Call A Function In Matlab**

In order to learn how to call a function in Matlab, let us first understand the creation of function. So, scripts and functions allow the user to use the same sequence of commands multiple times. First, you have to store them in program files. Hence, the best part about using script commands is that you do not have to mug up those commands.

**Creating a Function in Matlab Programming**

Matlab Expressions are valid expressions. Create the body of the functions. There are other requisites such as comments, control flow statements, blank lines, and nested functions. You will create various variables. The workspace or path file of the function is different than the base file path or workspace.

Multiple functions could be stored. Thus, it will be difficult to track down the main function. Thus, the system automatically considers the first function to be the main function.

The same function will be used to name the file of the function. So, all the other functions would be considered as the local function in that manner. Hence, it makes them much easier to use.

For Example

A factorial function of a number (n) is written as fact and the output results as (f)

function f = fact(n)

f = prod(1:n);

end

Here, n is the number, fact is factorial and f=prod(1:n); is the result of that function.

First, you should make sure that any type of function should be defined properly. It is defined within the file. Also, pay attention to the command line. Therefore, the users store the function in its own file. Hence, you should make it a habit of creating the same name for the function.

You can call the function from the command line, using the same syntax rules that apply to functions installed with MATLAB. For example, calculate the factorial of 6.

x = 6;

y = fact(6)

y = 720

You can use another way of storing functions. The best option is to include them at the end of a script file.

For example

You can create a file named mystats.m with a few commands and two functions. The names of the two functions will be fact and perm. The following script will be able for the permutation of (3,3).

x = 3;

y = 3;

z = perm(x,y)

function p = perm(n,r)

p = fact(n)*fact(n-r);

end

function f = fact(n)

f = prod(1:n);

end

mystats

z = 9

**Anonymous Functions of the Matlab Programming**

The Anonymous functions are compiled miscellaneously. So, these functions are not stored in the program files. Instead, they can be used at any instance in the program. However, they can generate single outputs with the single input functions as they only contain single executable statements.

#### Variables Expression

Here a,b and c are the variables and using the parabola function, we find the values of x and y.

a = 1.3;

b = .2;

c = 30;

parabola = @(x) a*x.^2 + b*x + c;

clear a b c

x = 1;

y = parabola(x)

y = 31.5000

Multiple anonymous functions. So, you can use anonymous functions within anonymous functions. The expressions used from different levels of anonymous function. The method is very useful for passing different parameters to a function. The function that you are evaluating over a range of values. The expression in an anonymous function can include another anonymous function. Hence, this is useful for passing different parameters to a function that you are evaluating over a range of values.

#### Anonymous functions with No Inputs

For Example – The following function used to retrieve the date.

t = @() datestr(now);

d = t()

d =

13-Feb-2019 13:12:50

Functions With Multiple Inputs and Outputs – For Instance – The function that accepts two variable inputs.

myfunction = @(x,y) (x^2 + y^2 + x*y);

x = 1;

y = 10;

z = myfunction(x,y)

#### Arrays of anonymous function

Using an example of the variable used to describe multi-dimensional array function.

f = {@(x)x.^2;

@(y)y+10;

@(x,y)x.^2+y+10};

**Local Functions of Matlab Programming**

The functions stored in the program file. So, the system automatically concludes the first function to be the main function. Therefore, It can be located through other files by calling it from the command line. There is one main function and rest are sub-functions.

For Example

Here we are going to crate a function file named mystats.m. This function file contains a main function – mystats. There are two local functions – mymean and mymedian.

function [avg, med] = mystats(x)

n = length(x);

avg = mymean(x,n);

med = mymedian(x,n);

end

function a = mymean(v,n)

% MYMEAN Example of a local function.

a = sum(v)/n;

end

function m = mymedian(v,n)

% MYMEDIAN Another example of a local function.

w = sort(v);

if rem(n,2) == 1

m = w((n + 1)/2);

else

m = (w(n/2) + w(n/2 + 1))/2;

end

end

**Nested Functions of Matlab Programming**

Functions within Functions. Nested functions has got the facility to hold a function within function.

For example,

This function named parent contains a nested function named nestedfn

function parent

disp(‘This is the parent function’)

nestedfx

function nestedfn

disp(‘This is the nested function’)

end

end

**Private Functions of Matlab Programming**

Private functions are a little opposite of local function methodology. Hence, the objective is to limit the scope of the function. To isolate a function from any other function.

For Example – Here we are going to create a private function and retain the function using the following syntax

function findme

% FINDME An example of a private function.

disp(‘You found the private function.’)

function visible

findme

visible

help private/findme

## Applications of Matlab Programming

Electrical Networks were used in MatLab Applications. However, there have been a lot of advancements made in MATLAB. The best part of Matlab programming language is that the functions of this domain can be elaborated on a larger scheme. Hence, Artificial intelligence, advanced robotics, Developing advanced graphics, image processing, machine learning and Data Analysis are the main applications.

### Matlab for Innovative Technology

MATLAB is a competitive tool. Developing circuit branches and solving mechanical equations and problems. Hence, the scope of this tool has become widespread.

Computation, programming and graphical visualization of complex data formations. Furthermore, Mathworks have created an innovative and dynamic way of processing complex computational tasks. Especially, it is embedded with a large number of library functions. These library functions give access to a lot of functionalities.

### User-Friendly Interface

MATLAB is fundamentally based on one data element and that is Matrix Or an Array. Besides, The acronym stands of Matrix Laboratory. The functionalities provided by the Matlab is way beyond what you can expect in ordinary computational environments. Therefore, the objective of creating Matlab was to allow users to express their imaginations into reality.

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Learning Matlab is just like learning any other programming language. In fact, it could be a lot easier to study Matlab Programming if you are quite aware of the basics of programming language. Some of the major applications of Matlab Programming are as follows

- Statistics and Machine Learning (ML)
- Curve Fitting
- Control Systems
- Signal Processing
- Mapping
- Deep Learning
- Financial Analysis
- Image Processing
- Text Analysis
- Electrical Vehicles Designing
- Aerospace
- Audio Toolbox