The following is a list of the top 25 algorithms every programmer and computer science student should know. Binary Search Algorithm; Breadth First Search (BFS) Algorithm; Depth First Search (DFS) Algorithm; Merge Sort Algorithm; Quicksort Algorithm; Kruskal’s Algorithm; Floyd Warshall Algorithm; Dijkstra’s Algorithm; Bellman Ford Algorithm ...

Oct 16, 2023 · Overall, algorithms are an essential tool for solving problems in a variety of fields, including computer science, engineering, data analysis, finance, and many others. Example: Consider a box where no one can see what’s happening inside, we say a black box.

Nov 2, 2023 · There are many types of algorithms but the most important and fundamental algorithms that you must are discussed in this article. 1. Brute Force Algorithm: This is the most basic and simplest type of algorithm. A Brute Force Algorithm is the straightforward approach to a problem i.e., the first approach that comes to our mind on seeing the problem.

Apr 12, 2025 · Algorithms are essential for solving complex computational problems efficiently and effectively. They provide a systematic approach to: Solving problems: Algorithms break down problems into smaller, manageable steps. Optimizing solutions: Algorithms find the best or near-optimal solutions to problems.

Nov 3, 2024 · In this comprehensive guide, we’ll explain what an algorithm is, the steps you need to take to write an algorithm, and show you how to apply these principles to your projects using real-world examples. We’ll break it down in a way that’s easy for you to follow, whether you’re just starting out or want to brush up on your skills.

Nov 21, 2016 · Today, We will see what they do and where they are used with simplest examples. This list is prepared keeping in mind their use in competitive programming and current development practices. 1. Sort Algorithms. Sorting is the most heavily studied concept in Computer Science. Idea is to arrange the items of a list in a specific order.

Understanding these three examples, will help us build a solid foundation so we can tackle future algorithm problems with confidence! Algorithm Examples, #1: Binary Search. Binary search is an essential search algorithm that takes in a sorted array and returns the index of the value we are searching for. We do this with the following steps:

Oct 5, 2024 · In this article, we’ll explore 20 algorithms every programmer should know, touching upon their use cases, time complexity, and why they’re important. Let’s dive in. 1. Searching and Sorting...

Feb 10, 2025 · Explore the top 11 algorithms every developer should know in 2025 with practical code examples. If you’re gearing up for a tech interview this year, this guide will be your best friend. We’re diving into the most commonly used algorithms every programmer should know. Think of this as your cheat sheet for mastering the logic behind the code.

Feb 16, 2025 · In this article, we’ll explore the top 10 algorithms that every programmer should know, ranging from basic sorting techniques to sophisticated methods used in machine learning and artificial intelligence.