Graph Algorithms Visualization
Master graph algorithms with interactive visualizations. Explore traversal techniques, shortest path algorithms, and minimum spanning tree construction with step-by-step animations.
Total Algorithms
6
Categories
4
Difficulty Range
Medium - Hard
Key Concepts
Traversal & Optimization
Depth First Search
MediumExplore graph vertices by going as deep as possible before backtracking
Breadth First Search
MediumExplore graph vertices level by level using a queue
Dijkstra's Algorithm
HardFind shortest paths from a source vertex to all other vertices
Kruskal's MST
HardFind minimum spanning tree using edge sorting and union-find
Prim's MST
HardFind minimum spanning tree by growing tree from a vertex
Floyd-Warshall
HardFind shortest paths between all pairs of vertices
šTraversal Algorithms
- ā¢ DFS: Depth-first exploration using stack/recursion
- ā¢ BFS: Level-by-level exploration using queue
- ā¢ Applications: Connectivity, pathfinding, cycle detection
šShortest Path Algorithms
- ā¢ Dijkstra: Single-source shortest paths (positive weights)
- ā¢ Floyd-Warshall: All-pairs shortest paths
- ā¢ Applications: Navigation, network routing, optimization
š³Minimum Spanning Tree Algorithms
- ā¢ Kruskal's: Edge-based approach with union-find
- ā¢ Prim's: Vertex-based approach with priority queue
- ā¢ Applications: Network design, clustering, circuit design
- ā¢ Both guarantee minimum cost spanning tree
š Recommended Learning Path
Start with Graph Traversals
Master DFS and BFS - fundamental techniques for exploring graphs.
Learn Shortest Path Algorithms
Understand Dijkstra's algorithm for single-source shortest paths.
Master MST Algorithms
Explore Kruskal's and Prim's algorithms for minimum spanning trees.
Advanced: All-Pairs Shortest Path
Complete with Floyd-Warshall for comprehensive graph algorithms mastery.