Types Of Algorithm In Backend Programming
Have you noticed how Google’s search mechanism works? You enter a search query, hit the search button, and wait for Google to return with the search results. The entire mechanism of Google understanding your search query and providing you with the best result is possible because of backend engineering.
Backend engineering creates the backbone of not just Google but several other applications and software solutions available on the internet. In simple words, almost everything online has certain backend development components working backstage, allowing it to function as it is supposed to.
So what exactly is backend development?
Backend Development, popularly known as server-side development, encompasses components or behind the scene activities that support the working and performance of an online tool or website. Backend components are hidden from the users. The backend framework primarily consists of databases, programming languages, algorithms, servers, and APIs.
Backend developers are professionals leveraging various tools and technologies to develop the backend architecture of a digital tool or website. From apps to single web pages, every online entity uses backend programming to function. Backend developers usually work within a team or group to create and share a finished product with the client. A large software development team includes both backend and frontend developers, design architects, product managers, and quality assurance professionals to design and develop a fully functioning product.
Databases and algorithms are important elements of back in programming backend programming. These components allow developers to design logical solutions for real-world problems. This blog will discuss the role and types of algorithms used in backend programming. But before that, let’s start with the basics!
What are algorithms in backend programming?
Algorithms are a series of logical instructions written in a particular coding language to complete a task or give a solution to a particular pain point. To be precise, algorithms are logical flow charts representing a specific part of the entire back and architecture.
A fully functional algorithm features the following characteristics:
- Extremely precise and well-defined input and output.
- Language independent
- Simple and easy to understand
- Finite logical loop, clear and obvious
- Independent of Language
While backend programming represents the backbone of a digital product, algorithms are like a life source that fuels the backend structure. Algorithms are critical for improving a product’s scalability, process efficiency, and overall performance.
Types of Algorithms in Backend Programming
A backend developer’s employability might be limited without adequate knowledge of algorithms! Some of the most important algorithms include:
- Searching algorithms: Depth-First Search and Breadth-First Search.
- Sorting algorithms: bubble sort, selection sort, insertion sort, merge sort, quick sort, etc.
- Hash Algorithm
- Recursive and iterative algorithms.
- Dynamic Programming Algorithm
- Randomized Algorithm
Let’s explore each of these algorithms in detail!
Search algorithms are used to search particular elements from a data structure. There are several types of search algorithms, and the practical approach of each algorithm differs depending on the data structure. Some most common search algorithms include deep-first search and breadth-first search.
Sorting algorithms help to arrange an array of data in a particular order according to the functional requirement. Typically, most sorting algorithms categorize groups of data in an increasing or decreasing order. For example, using the lowest-highest pricing filter or most popular search filter feature in an ecommerce app. Some common sorting algorithms include bubble sort, insertion sort, merge sort, and quick sort.
The hash algorithm functions similarly to the search algorithm. Hashing algorithm represents a logical technique of mapping keys and values into the hash table by utilizing a hash function. Hashing algorithm is used for facilitating fast data retrieval.
Recursive and iterative algorithms
Iterative and recursive algorithms are based on a similar control structure. The main difference is that iteration functions with a repetitive structure, while recursion leverages a selection structure. A recursive algorithm calls a function or module again and again until the stopping condition is satisfied. An iterative algorithm utilizes looping statements, for example, for loop-while loop or do-while loop.
Dynamic Programming Algorithm
Dynamic programming algorithm functions on the concept of utilizing an already existing solution to avoid repetitive actions to solve the same problem. It divides a larger problem into smaller and manageable overlapping problem statements and addresses them.
Randomized algorithms utilize random logic, such as numbers or choices, to determine the next step. Randomized algorithms typically reduce the time and space complexity.
We use these algorithms to reduce space and time complexity. There are two types of randomized algorithms:
- Las Vegas algorithms
- Monte-Carlo algorithms
In the current century of digital domination, skilled backend developers are in high demand! Industry-leading enterprises like Google, Amazon, Meta, and Apple are hungry to recruit the best backend development talents. Want to know the hacks to prepare for your backend developer interview? Click here (Backend Developer Interview Series- Part 3).