Introduction to Algorithms

You must instruct the computer on how to complete a task if you want it to be completed by one. A computer program must be written that details each step of the duties it must perform and how they should be carried out. In this situation, algorithms are useful.

Introduction to Algorithms for Beginners

Introduction to Algorithms for Beginners

The study of algorithms is crucial to both computer science and software engineering. It is the foundation of problem solutions. One must master several approaches to problem-solving, and more significantly, how well a problem can be solved, in order to be an effective software developer. 

Brute force methods may be time-consuming to implement and may consume a lot of energy and resources, both of which are scarce for any given firm. Here, effective algorithm use can help a business save time and money. Learning algorithms becomes simpler as a result.

What is an Algorithm?

What is an Algorithm?

What is an Algorithm?

An algorithm is a process used to carry out a computation or solve a problem. In either hardware-based or software-based routines, algorithms function as a detailed sequence of instructions that carry out a set of operations in a likewise manner.

All aspects of information technology employ algorithms extensively. A simple technique that resolves a recurring issue is typically referred to as an algorithm in mathematics and computer science. Algorithms are essential to automated systems because they serve as specifications for processing data.

An algorithm may be employed for simple tasks like sorting lists of numbers or for more challenging ones like suggesting user content on social media. After the calculation is completed, the procedure results in an output.

How to Learn Algorithms?

Learning Algorithms

Learning Algorithms

Following are the steps to follow on how to learn Algorithms-

  • Have a solid grasp of the fundamentals.

  • Understand an algorithm's operation in detail.

  • Work out an algorithm's steps using examples.

  • Easily understand complexity analysis.

  • Try to put the algorithms into practice on your own.

  • Make notes of crucial information so you can refer to it later.

  • Take online courses that you can find on learning platforms.

  • Watch lectures that reputable universities have posted online.

  • Try out some coding difficulties.

  • Don't give up if you run across difficult issues when completing programming challenges. After the challenge is over, you can study their instructions to figure out where you were having trouble.

Basic Algorithms for Learners

Basic Algorithms for Beginners

Basic Algorithms for Beginners

There are many different kinds of algorithms for solving problems, but the majority may be divided into a few distinct categories. To master algorithms online, these are the most crucial ones. These include-

  • Searching Algorithms: Binary and linear search algorithms are two examples of search algorithms.

  • Sorting Algorithms: There are many different sorting algorithms, such as rapid sort, merge sort, selection sort, insertion sort, bubble sort, shell sort, radix sort, etc.

  • Divide and Conquer: Divide and conquer is the process of breaking an issue into smaller components and then tackling each one separately. This covers operations like quicksort and merges sort.

  • Greedy Algorithm: As the name implies, we begin with a greedy method selection based on a set of priorities. Problems with scheduling are included.

  • Dynamic Programming: In this algorithm, we divide the problems into smaller, more manageable problems, solve those first, then try to solve the combined problem using the knowledge from the smaller problems. The solutions to the subproblems must also be saved for further use.

  • Graph traversal Algorithms: Algorithms for traversing a graph, including Depth First Search (DFS) and Breadth-First Search (BFS).

These are some of the most typical categories, while there are many different particular algorithms for various situations. There are also other methods that are easily applied in applications, such as Dijkstra, Cycle detection, and Kruskal Minimum Spanning Trees. The most basic algorithms for beginners to learn from are some of these. 


A Computer program must be written that details each step of the duties it must perform and how they should be carried out. In this situation, algorithms are useful. Computers utilize algorithms, or sets of instructions, to solve problems in order to accomplish goals. Learning algorithms are essential for creating effective computer applications.

FAQs on Algorithms for Beginners

1. What types of algorithms are there and how to learn them?

There are algorithms everywhere around us. The process of doing laundry, the way we solve a long division problem, the ingredients for making a cake, and the operation of a search engine are all instances of algorithms.

Following are the on how to learn Algorithms-

  • Know the fundamentals inside and out.

  • Know exactly what happens in an algorithm.

  • Using examples, work out an algorithm's steps.

  • Clearly know complexity analysis.

  • Make an effort to apply the algorithms on your own.

  • Make a note of crucial information so you can review it later.

2. Name three algorithms and what practical applications does it have.

In an algorithm, there are three fundamental building blocks:

  • Linear Sequence: A continuation of actions or utterances made one after the other is known as a linear sequence.

  • Conditional: A choice is made between two possible courses of action.

  • Loop: Statements in the WHILE and FOR sequences are repeated numerous times.

The core of computing is an algorithm. If we look at ourselves, we may see various algorithms at work, addressing the issues we face every day: Algorithms power a variety of applications, including Netflix recommendation systems, social media networks, GPS apps, Google search, and e-commerce platforms.