Mar 17 • ⚒️ Interview Questions 🛠️
Graph Algorithms: DFS vs BFS – When to Use What?
Both explore graphs, but one goes deep while the other goes wide. Which one is better?
Depth-First Search (DFS) and Breadth-First Search (BFS) are core algorithms in graph theory, but they serve different purposes.
📌 DFS (Depth-First Search):✅ Best for exploring all paths (e.g., cycle detection, backtracking)✅ Uses recursion or a stack✅ Works well for tree problems
📌 BFS (Breadth-First Search):✅ Best for finding shortest paths in unweighted graphs✅ Uses a queue for level-wise traversal✅ Ideal for problems like word ladder or shortest path in a maze
The key is knowing when to use which. If you need shortest paths, BFS is the way. If you need to explore all possibilities (like in backtracking), DFS is your friend.
Have you ever used BFS or DFS in a real-world project? Which one do you find more intuitive?
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Graph Algorithms: DFS vs BFS – When to Use What?
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