Currently browsing: Algorithms

Divide and Conquer Algorithm: Breaking Down Complex Problems into Smaller Sub-Problems

Divide and conquer algorithm is a powerful technique used to solve complex problems by breaking them down into smaller sub-problems. It works by dividing a problem into smaller sub-problems, solving each sub-problem independently, and then combining the solutions of the sub-problems to obtain the solution to the original problem. In this article, we will explore […]

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Greedy Algorithms: A Simple yet Powerful Technique for Solving Optimization Problems

Greedy algorithms are a simple yet powerful technique used to solve optimization problems. They work by making locally optimal choices at each step in the hope of finding a global optimum. In this article, we will explore how greedy algorithms work and their implementation in solving problems efficiently. What are Greedy Algorithms? Greedy algorithms are […]

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Dynamic Programming: A Technique for Efficient Problem Solving

Dynamic programming is a powerful algorithmic technique used to solve optimization problems by breaking them down into smaller subproblems. In this article, we will explore how dynamic programming works and its implementation in solving problems efficiently. What is Dynamic Programming? Dynamic programming is an algorithmic technique that breaks down a problem into smaller subproblems and […]

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Top 25 Algorithms Every Programmer Should Know

Good knowledge of standard algorithms is equally important as choosing the right data structure. 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 […]

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