Visualization
Select an algorithm and start the visualization
Code Implementation
View the actual code implementation of the selected algorithm
Select an algorithm to view its code
Visual Algorithms
Learn algorithms through interactive visualizations
Understanding Algorithms
Algorithms are step-by-step procedures for solving problems or accomplishing tasks. They form the foundation of computer science and are essential for efficient problem-solving in software development. This visualization tool helps you understand how different algorithms work through interactive demonstrations.
Algorithm Categories
Sorting Algorithms
Arrange elements in a specific order (ascending or descending). Examples include Bubble Sort, Quick Sort, and Merge Sort.
Searching Algorithms
Find the position of a target value within a collection. Examples include Binary Search, Linear Search, and Interpolation Search.
Graph Algorithms
Solve problems related to graph data structures. Examples include BFS, DFS, Dijkstra's Algorithm, and A* Search.
Dynamic Programming
Solve complex problems by breaking them down into simpler subproblems. Examples include Longest Increasing Subsequence and Knapsack Problem.
String Algorithms
Process and manipulate text data efficiently. Examples include Boyer-Moore and Knuth-Morris-Pratt algorithms.
Greedy Algorithms
Make locally optimal choices at each step with the hope of finding a global optimum. Examples include Huffman Coding and Dijkstra's Algorithm.