7. Summary Comparison
| Feature | BFS | DFS |
|---|---|---|
| Full Name | Breadth-First Search | Depth-First Search |
| Data Structure | Queue (FIFO) | Stack (LIFO) or Recursion |
| Strategy | Level by Level (Layered) | Branch by Branch (Deep) |
| Shortest Path? | ✅ Guaranteed (Unweighted) | ❌ Not guaranteed |
| Memory Usage | High (if graph is wide) | Low (proportional to depth) |
| Key Use Case | Shortest Path, Proximity | Maze, Cycles, Components |
| Metaphor | Radar Scan, Ripples | Maze Runner, Ant Tunneling |
Final Thought
- Lost in a city? Use BFS (Look at nearby places first).
- Lost in a maze? Use DFS (Keep "right hand on the wall" and keep walking).
Both are essential tools in a developer's algorithmic toolbox.