Of course, if you’re a programmer, you’ll be writing code, building projects, and you’ll be solving a lot of coding problems this year.
What are the commonly used data structure algorithms? Let’s talk about data structures and algorithms and data structure algorithm collections……
The core of computer science and the breath of programmers living in the coding world……
Many beginners start learning programming by picking up these two important tools of computer science. You’ve probably practiced a lot, but have you ever tried to understand what these algorithms do in real-world applications. Of course, there is a reason to learn them. Most novice programmers learn it for the sake of work, but wouldn’t it be interesting if we learned about the actual implementation of these algorithms in the real world.
The new year is coming, and in the new year we encourage you to look at famous algorithms in action, rather than learning them for the sake of work. In this blog, we will discuss some of the practical implementations of these algorithms in the real world.
Whether you’re new or experienced, you’ll find it fun to read. This article will refresh the memory of experienced programmers.
1. Fibonacci sequence
What are the commonly used data structure algorithms? Of course, you may have performed the Fibonacci sequence once in your life. As a student, you may have asked for a procedure to implement the Fibonacci sequence, or you may have asked this question during an interview at XYZ Company.
Yes!!! We are talking about the same series, we apply the mathematical formula a n = a n -2+a n -1 to get the progression in our program. We implement the code to make the series 0, 1, 1, 2, 3, 5, 8, 13, and 21 infinity. In this series, we get the next highest number by adding consecutive series.
You write a program, pass an exam or pass an interview, but have you ever tried to search for the use of the series in a real-world application? What could be the possible scenarios to exploit the algorithm in the real world?
The beauty of this sequence can be used to calculate miles to kilometers and vice versa. You’ll get almost accurate results (inaccurate, but accurate enough). In the Fibonacci sequence, you can think of any number as miles, and the next number will be in kilometers.
Consider sequences 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, …
In the example above, you can take two consecutive numbers 8 and 13. The smaller number is measured in miles, i.e., 8, and the larger number is measured in kilometers, i.e., 13.
8 miles = 13 kilometers.
2. Palindromic algorithms
This is another popular algorithm among programmers. The palindromic number or string reads the same content in reverse order. Like what…… level, Ms., 12021. Implementing this algorithm is also a common problem in the interview process of many companies.
You tested your logical abilities when implementing a palindrome program, but can you think about a practical scenario of this famous algorithm? Where can it be used?
Palindromes are used for DNA sequence processing. But how is it used in this processing?
Many DNA sequences became available. To store information about these DNA sequences, we use molecular biology databases. The capacity of these databases will be even larger in the future, so it is important to communicate and store data efficiently in the database.
It is important to compress these DNA sequences for better performance. These sequences can be compressed using CTW (Context Tree Weighting Method). This method compresses the DNA sequence to less than 2 bits per symbol.
There are two main known characteristic structures of DNA sequences. One is palindromic or inverted compliments, and the other is approximate repetition. The algorithm uses hashing and dynamic programming to search for approximate repetitions and palindromes before encoding the next symbol. If it finds a palindromic that is long enough or an approximate repetition, the algorithm represents it in terms of length and distance.
3. Arrays
Data Structure Algorithm Collection: The first data structure …… learned in programming
The most commonly used and widely used data structures in many applications……
Every beginner’s programming journey begins with solving array problems. As a programmer, you definitely use this kind of data structure a lot in your applications. This data structure is used for all possible situations where you need to collect objects in one place. Arrays of software or web applications, ranging from simple to complex, are primarily used to dynamically store and display data on web pages. Let’s take a good example of using arrays in a real-world application……
We all have to use the online booking system at least once. It may be used to book tickets for train tickets, buses, flights, movies, or any other show. If we want to book any seat, then just click on a square and it will be booked.
Have you ever thought that the seats you book online on any system are two-dimensional arrays?
When you reserve a seat, it’s somewhere in a specific row and column. This can be represented by a two-dimensional array, such as a seat[4][5]. Therefore, the array is suitable for a variety of online booking systems. Hopefully, you understand and understand the practical application of Array.
4. Stacks
What are the commonly used data structure algorithms? As a beginner, you’ve surely read about common examples of stacked data structures…… A pile of plates or books in a cupboard, but can you come up with another stack example besides this basic stack example?
Are there any real-world applications that are built and run on top of the Stack data structure concept?
Yes!!! Yes….
A text editor such as Notepad or Microsoft Word uses stacks of data structures to complete undo their editing tasks. Another good example of a stack is a browser working on your laptop or system.
Whenever you perform an activity in a text editor, a stack is created. Use push actions to store operations, their metadata, such as the type of action, the nature of the action, its data, and so on. Use the pop-up action to perform an undo operation and the last action (stored on top of the stack) to remove or undo from the stack.
Another good example of a stack data structure is when a browser works on your laptop or system. Let’s say you’re accessing a www.google.com, and then you’re accessing www.lsbin.org. After that, you visit www.youtube.com. Use the push operation to store this information in a stack data structure. When you click the back button in your browser, you’ll be taken to the previous page, which is a pop-up action performed in the stack.
So, if you’re on www.youtube.com page and press the back button, then you’ll be accessing the previous page www.lsbin.org. Press the back button again to perform the pop-up action, and you’ll be returned to the www.google.com page.
5. Linked Lists
Data Structure Algorithm Collection: Another popular and common data structure among programmers is linked lists. Now think about the use of this data structure in a real-world application.
We all have music players on our phones with songs on them. Let’s say you have 5-6 songs on your list. When you create playlists for these songs, it applies to the concept of linked lists. The songs are played one by one, which is one of the best examples of a one-way linked list. The song is connected, and you can go from the third song to the fourth song, but you can’t go back (the behavior of a one-way linked list).
When you implement the bidirectional playback of songs, it follows the behavior of a doubly linked list. In a doubly linked list, nodes are bidirectionally connected. So, in a playlist, you can move from song 3 to song 4, and from song 3 to song 2. You will have both the previous and next buttons. So two-way navigation is possible.
When you play a song in repeating mode, it follows the behavior of a looping linked list. In a round-robin linked list, the last node is connected to the first node. So, once the last song is done, the first song will play again, it will play in loop mode and it will never stop.
6. Binary search algorithm
As a programmer, you probably know the binary search algorithm. The algorithm is also known as semi-spaced search, logarithmic search, or binary chopping. In this algorithm, we search for the target value in a sorted array.
This algorithm makes the search process easier because you don’t need to compare every element in the numeric list. A binary search is a way to quickly find a target value in an ordered data list. It enables you to carry out this process effectively. You can find many examples of dichotomous search algorithms, such as searching for the meaning of words in a dictionary, but do you know the actual application of using dichotomous search methods?
One of the real-world scenarios for this algorithm is to verify user credentials in an application. With binary search, you can verify the credentials of millions of users in seconds.
The algorithm is also used in many programming language libraries such as Java, . NET, C++ STL, etc. Python’s list.sort() method uses Timsort, which (AFAIK) uses binary search to locate the location of elements. 99% of 3D games and apps also use binary search.
7. Merge sorting algorithm
Merge sorting is based on the concept of divide and conquer technology. We divide the list into several sub-lists until the sub-list does not contain a single element. After that, we merge these sublists to get a sorted list of elements. This is a simple and short introduction to the algorithm, but do you know where it is used in a real-world application?
A lot of people prefer to shop online through any e-commerce website. Did you know that these e-commerce sites use this algorithm? Most e-commerce sites have a “You May Like” section. This section maintains an array of all user accounts, and then uses the one with the least number of inversions of your selection array to start recommending what they bought or what they liked. (Next time this section will remind you to use binary search when shopping on these sites)
8. Armstrong numbers
Another popular procedure for programmers is to check if the number is Armstrong. In the Armstrong number, the sum of the cubes of the digits of a number is equal to the number itself. For example, 153 and 371 are Armstrong numbers. Armstrong numbers are primarily used for data security applications that encrypt and decrypt data.
Access to IJITEE’s link. The Armstrong number of wireless sensor networks is mentioned. They used an Armstrong-based security algorithm in which an Armstrong number was used to generate a 128-bit key. It is used in the AES algorithm for data encryption and decryption.
9. Hoffman coding
Hoffman coding is used in conjunction with cryptography and data compression. It is used for lossless data compression. According to probability, it is implemented in a way that does not require the need to keep multiple copies of the same thing.
Hoffman encoding is done using compression formats such as GZIP, PKZIP (winzip, etc.), and BZIP2。 All communications with the Internet use Hoffman codes. Most image files like JPEG and PNG are Hoffmann encoded. Also, music files such as MP3 are Huffman encoded.
Hoffman code converts fixed-length codes into variable-length codes. It is further compressed using JPEG and MPEG technologies that generate the desired compression ratio.
10. Dynamic programming
What are the commonly used data structure algorithms? Another favorite topic for computer science students and programmers is dynamic programming. The 0-1 backpack problem, the hyphenation problem, the longest common subsequence are all of these problems that are the most popular and common problems in dynamic programming. Where you solve it, you use your logical abilities, but actually use this concept in the real world……
Dynamic programming is widely used in bioinformatics, mathematics, and economics. Tasks in bioinformatics, such as sequence alignment, protein folding, RNA structure prediction, and protein-DNA in combination with dynamic programming.
In mathematics, DP is used for matrix multiplication and is widely used in Rocket technology. The path of the rocket is determined by solving a number of parameters. All decision-making problems can be optimally solved using dynamic programming.
11. Graph Algorithm
Whether you’re traveling somewhere, out and about, or trying to find a route to a specific destination. You use your best friend in your phone Google Maps. Did you know that Google Maps uses Graph data structures?
A graph data structure is a very powerful type of data structure. Not only the Earth, but the entire universe can be represented graphically. From tiny subatomic particles to giant universes, you can represent everything with the help of a Graph.
When you use Google Maps, all cities and states are connected together like charts with distance information. There are many ways to get from one city to another, but to find the shortest path between the two cities, you’ll need to use some algorithms. Dijkstra’s algorithm is a very powerful algorithm that can be used to find the shortest path between two cities.
To determine the shortest path to your destination, Dijkstra’s algorithm enables the navigation system/GPS in your phone. Uber uses a Hungarian algorithm to assign each vehicle to someone looking for a ride.
Facebook also uses graph data structures to implement news feeds or followers. It uses the Graph API to implement most of the content in its application. Everything can be represented by vertices or nodes, such as pages, locations, groups, comments, photos, albums, stories, videos, notes, and more. Every connection or relationship is an edge on Facebook. The Graph API stores data in the form of vertices and edges.
12. Data Structures
This is an advanced data structure topic for programmers. You may learn it for work, and you also like to solve problems based on it, but what is the use of this advanced topic in practical applications. Where is it implemented in our daily lives? Let’s take a look at that interesting answer……
What are the commonly used data structure algorithms? You use your phone every day, and you also use the swipe feature in your phone. This swiping feature in the mobile keyboard and autocorrect when writing a document uses the Trie data structure. The Trie data structure holds the character values from the phone.
Web browser history also uses the Trie data structure. The URLs of the sites you’ve visited are organized by the Trie data structure. When the user enters the prefix of a previously used URL, the browser uses this powerful data structure to complete the URL.
Summary of the collection of data structure algorithms
Now you have an understanding of the real-world use cases for well-known data structures and algorithms. Wouldn’t it be interesting to know how these famous algorithms are implemented in our daily lives?
Many of us are ignorant of the interesting use cases of these data structures and algorithms. We use it somewhere, but we don’t know about it. It’s always good to understand the benefits of something before you start learning anything. These are just a bunch of data structures and algorithms that we have introduced, but there are several algorithms that we use in our daily lives.
