Why Does A Programmer Need To Know A Matrix?

To be a successful programmer, you need to wish to hunt for conceptual clarity of data structure basics!

Matrix is one such data structure concept that is used to simplify the process of storing data. 

A matrix is stored in the form of a grid consisting of columns and rows, this is why it is referred to as a multidimensional array. 

Learning this concept would hold a significant importance for any programmer. While we are mainly on the subject of matrix, we will also be discussing set matrix zeroes and how to remove duplicates from sorted list, inthis blog. 

So read this blog and find out why it is important for a programmer to know the matrix. 

Why does a programmer need to know a matrix? 

Matrix is often considered to be a multidimensional array because of its structure. If you study the structural pattern of a matrix you will understand that it consists of several rows and columns which are arranged in the form of a square or a rectangle. 

Now in an array where we have to solve the problems in a horizontal manner, the matrix gives us the liberty to navigate the problem both vertically and horizontally. 

Matrix  makes it easier to solve functional problems and it also simplifies the process of storing data. You can store data here in an easy and efficient manner with the help of this function. 

This is because the data stored in a matrix only represents the important results or output which is more relevant than the whole set of elements. 

With that cleared out, here are some of the reasons why a programmer needs to learn matrix:

 

• Efficiency

As we have discussed prior to this, the matrix stores only the relevant data which will be used in the problem-solving quotient. 

• Performing functions

With the use of matrices, it becomes easier to run the problems concerning rotation, scaling, and translation. That is because these problems are easier to be solved on the matrix shape vertices rather than on vertical lines. 

 

• Represent N number of transformations

Due to the presence of rows and columns on a matrix, it is possible for the structure to represent N numbers if transformations, i.e any amount of transformations are possible. This is not the case with arrays. 

 

• A broader range of operations

It must be clear by now that due to the 2-dimensional structure of the matrix it is possible to perform a broader range of functions. This is the limitation of an array which is posed due to its structure. 

 

• Easily create a 2-Dimensional structure

By using the matrix() logic it is possible to easily create a 2-dimensional structure that can be used for transforming data and storing it in an efficient manner. 

The key takeaway from these pointers is that learning how to perform matrix functions and implement them in the data transformation process will certainly help create efficiency in your task. 

And the reason why we have compared the matrix data structure with an array a few times in the above section is, just to show how both being a part of R programming are effective on completely different levels. 

So now that we have touched upon the general topic of the blog, let us discuss a few things about how you can deal with set matrix zeroes problems. 

Set matrix zeroes

There are different approaches that you can use while running the problem solution in different programming languages. 

Such as for C++ you can use the brute force approach. This approach is quite an exhaustive method because it describes traversing through the given problem and finding every possible solution. 

Afterward, you will have to compare the solutions and match the one which fulfills the quotient of the given problem statement the most. 

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