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To begin with, **Matlab** is pretty similar to some other programming languages like **Python**, Perl and Haskell and has a completely functional interactive mode where codes can be entered and executed one line at a time. The other way to go about it would be to create a script file having a number of code lines to be executed as a set of instructions in one go. These script files in MATLAB have the .m extension.

**Note:** *To create a new script file, simply press the ‘New Script’ button on the file menu in the Home tab. You can also type the command “Edit *file name*” in the command window of MATLAB and it will ask you to create a new file in of the given file name in the directory you are working in.* In this introductory article we will try and cover some very basic elements of MATLAB and its features.

- Excess white spaces to not affect the readability of execution of the code. c=2+3 is exactly equal to c = 2 + 3.
- In the script file, the lines of code end with a semi-colon ‘;.’ In the interactive mode however, if the code line ends with ‘;’, the details of the execution will not be printed on the results window and its absence will print the details of the execution in the results window.
- The % sign is used for writing comments for the readers and he MATLAB complier ignores these lines of codes as non-executable.

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A variable can be defined as a name that we provide to a value while performing calculations, so that the value can be used multiple times with convenience, thereby generating a flawless code. Matlab variables begin only with letters as a rule, and the singular special character a variable name can use is an underscore, which however cannot be placed at the beginning of the variable name. Numbers, if any, can be used within or at the end of the variable name. Matlab is case sensitive, and therefore, ‘x’ and ‘X’ would be two different variables. The workspace window contains a list of variables created and stored during a session. To create a new variable, one must type the variable name in the command window, followed by an ‘=’ sign, and the value to be assigned.

**For example: NewValue = 50;**

Users also have the choice to use pre-existing variables from Matlab, with the restriction that they cannot employ Matlab keywords as variable names. The ‘iskeyword’ command generates an entire list of such keywords.

The elemental data structure in Matlab is a matrix, which is a rectangular 2D array of data organized in forms of columns and rows. Interestingly, even when a variable is assigned a single value, Matlab stores it in the form of a 1-by-1 matrix. To generate an array that has a single row with 3 elements, the elements need to be typed together, separated by a space or comma.

**For example:X = [ 10 20 30]**

In order to generate a matrix with multiple rows, similar method has to be followed, but the rows should be segregated with semi-colons.

**For example:X = [ 1 2 3; 6 4 5; 8 7 9]**

Matlab offers the opportunity to generate common matrices through pre-existing functions, which are zeros, ones, eye, rand. Zeroes(a,b) would generate an a x b matrix where value of the elements are 0; ones(a,b) would do the same with element values being 1; eye(a,b) helps to generate an a x b identity matrix; rand(a,b) generates an a x b matrix with element values being random numbers from 0 to 1.

The chief arithmetic operators in Matlab are + - * / \ ^ ‘

Matlab is widely used for arithmetic calculations of varying degrees of complexity, and some of the basic arithmetic operations it can perform are addition, subtraction, multiplication, and division. There are two major subdivisions of mathematical operations that are performed in Matlab: array operations and matrix operations. Array operations take place element by element and can work with multi-dimensional arrays. Matrix operations follow rules of linear algebra. An array operation is distinguished from a matrix operation using “.” period character. For example, x.*y implies array multiplication, and similar rules would apply for other operators and operations.

Matlab has an entire plot gallery and it is possible to plot data in multiple ways using Matlab. Some of the commonly used Matlab plots are line plots which include function plots and log plots; geographic plots which are useful for visualization data with respect to maps; data distribution plots which consist of pie charts, histograms, word clouds among others; contour plots such as 3D and 2D isoline plots; discrete data plots like scatter plots and bar graphs; polar plots which are plots related to polar coordinates; surface and mesh plots that work with gridded surface data and un-gridded polygon data. Matlab comes with a ‘plots’ tab which enables users to create plots interactively and one has the choice to code their own plots. Plots created with Matlab can help to display distribution of data, note the changes in data over time, and perform various other observations.

Knowing how to represent data in Matlab is significant, and there are various forms of data representation such as time-domain data representation, time-series data representation, frequency-domain data representation, frequency-response data representation, and each of these possess their own distinguished formats. Time domain data, for instance, has one or multiple variable inputs and outputs, which are sampled as functions of time. For SISO (single input-single output) data, data values should be double column vectors. For MIMO (multi input-multi output) data, sample data ought to follow specified matrix patterns. Likewise, time-series data is time domain/ frequency domain data consisting of single or multiple outputs but no corresponding inputs, and they too have their distinguished rules of representation.

In Matlab, a function is made up of a number of statements which can together carry out a task. Such functions are capable of accepting multiple input arguments and yield multiple output arguments. When one is creating a function, they need to define it in a program file; functions cannot be defined directly at a command line. They have their own workspace called local workspace where they manipulate variables according to the task assigned to them; they do not work in the base workspace which is where the command prompt resides. Some basic categories of functions embedded in Matlab are nested functions, anonymous functions, private functions, and local functions.

There are situations when a set of commands or statements need to be repeated multiple times in a program, and for execution of this repetition, one does not have to type the codes again and again in Matlab: Loop statements in Matlab simplify the task. With loop statements, one can perform repetitive actions within a program until the end conditions are met, and for this there are different types of loops available on Matlab such as the ‘for’ loop which allows for statements to be repeated a specified number of times; ‘while’ loop which performs a series of commands as long as the conditions stated are being met; ‘nested’ loops where one loop is embedded within another, and so on. If a user wishes to generate their own customised loop, that too is facilitated by Matlab, but the loop must first be written as script and not directly entered into the command window.

One of the prerogatives of Matlab is that it comes with online help which makes it a rather smooth experience for users to work with Matlab. At any point during their project, one can access Matlab online help by clicking on Help or ‘?’ on the menu bar. Alternatively, one can type help commands which work efficiently on all versions of Matlab. For instance, typing ‘help’ would immediately generate a list of help options that users can access. To be more specific in their needs, users can type in something like ‘help arith’ to find elaborate information about different arithmetic operations such as addition, multiplication, and so on. The ‘helpwin’ command immediately launches the help window for users and ‘lookfor’ command is useful in searching for commands associated with a certain keyword.

- Matlab is exclusively designed for scientific research and application in industries; therefore, universities across US, Canada, Australia, and UK choose to teach Matlab to students of Mathematics, Engineering, Physics, Statistics, Economics, and various other disciplines. As such, it is a programming environment that is largely in use and the knowledge of the same is certain to improve a person’s employability. Apart from being a desirable skillset, it is also a programming environment that makes it possible to apply computational theories to real life tasks with ease, making complex and time-consuming jobs cakewalk for scientists and engineers.
- Matlab extends advanced visualization options, which support users in presenting their data and analysis to their audience in an elaborate and comprehensible manner. In-built plotting features are helpful because plots can be generated semi-automatically, which reduces the work for users. Matlab also offers several discipline-specific apps to minimize the workload on researchers and engineers, some such apps being apps for code generation, control system design & analysis apps, computational finance apps, image processing apps, and many more.
- Matlab Toolboxes are another feature that deserve a mention. They successfully affect the integration of code generation, computing environment, and GPUs. A signal processing toolbox can extract, pre-process, and analyse data from sample signals; Control system toolboxes help to design, tune, and analyse linear control systems; Neural network toolboxes can generate, train, and simulate deep or shallow learning neural networks. There are numerous other toolboxes which make Matlab an ideal professional computational/ programming environment.

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