Real-Life Applications of Data Structures

 

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Introduction

The Data Structure is the organization of the data in a way so that it can be used efficiently. Efficiently means in terms of time as well as space. A data structure is used to implement an Abstract Data Type. The basic goals of data structures are to boost program efficiency and reduce storage needs.

Classification of Data Structure

Linear Data Structure:  It is a very simple and basic search algorithm. Linear data structure is used to process data elements in a specific order. Except for the first and last elements, each element has a previous and next adjacent one. Elements are stored, and data traversal is completed in one go.

Example: Queue, Linked List, Stack

Each one of these data structures is linear. There are many ways to define a data structure as a linear data structure. Here, you can see in the given image that all the elements have a predecessor and a successor. Further, we will understand things better with the help of real examples. How does a data structure work when each element has only one predecessor and one successor?

Non-Linear Data Structure: In Non-linear data structures data elements are not stored sequentially.  It is also known as hierarchical data structures.  In a non-linear data structure, data elements are stored in random order. Each element has many paths to reach other elements.

Example: Tree, Graph

This Data Structure is a Non-Linear Data Structure. Why are we Saying that this data structure is non-linear?  You can see here that each node does not have one predecessor and one successor. You can see here that- this node does not have one predecessor and one successor. You can see in this diagram node has one predecessor, but it doesn’t have one successor. It has two successors, right? So, it is clear from this fact that this data structure is not a Linear data structure. Check out Data Structure Assignment Help Australia for more clarification that will be helpful for you.

Static Data Structure:  In this type of Data structure, the memory is allocated at compile time. Therefore, the Maximum size is fixed.

Advantage: The advantage of such a data structure is that we can access data very fast.

Disadvantage: On the other hand, the disadvantage is that insertion and deletion operations are slower. 

Example: Array

 

The array data structure is a Static data structure, here you can see we have to fix the size beforehand. That is why, we are fixing the size at compilation time, that is when we are creating code. Maximum size is always fixed in the case of arrays. Through Array, we can access the elements very fast, but insertion and deletion are slower operations.

Dynamic Data Structure: In this type of Data structure, the memory is allocated at run time. Therefore, the maximum size is flexible.

Advantage: Faster insertion and deletion operation

Disadvantage: Slower access

Example: Linked List

How Data Structure Are Used In The Real World

In our daily lives, many applications such as a browser, Google Maps, music play, and movie ticket apps are some of the Data Structure Concepts.

Example: Movie Ticket App

So we all must have used an online ticket booking system at least once. It might be booking for trains, movies, flights, and so on. If you book any seat, it is just a matter of clicking on the square and It will be booked but have you ever booked these seats in a two-dimensional array? That is the real-life application of Array. Go through Data Structure Assignment Help Australia. You will get more unique ideas for your assignment.

When Tackling Data Structure Assignments, Points To Be Remembered

It is possible that students are worried about time management as they have assignment deadlines and many other tasks.

Right Balance: The right balance between complexity and educational value can be quite challenging for the student.

Testing and Debugging: Students may encounter difficulties when testing and debugging their implementations.

Unambiguous: Writing unambiguous requirements is crucial.

Time-Consuming: Grading data structure assignments can be time-consuming if Grading criteria are not well-defined.

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Conclusion

Data structures are fundamental components of computer science and programming. Data structures are not theoretical concepts. Rather, it is used in real-world applications. The field of data structures can be complex and challenging. But with the help of an online assignment service through us, you can complete it on time. Your success is our priority, and we look forward to partnering with you on your academic journey.

                       

 

 

 

 

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