What are the main differences between BFS and DFS?
BFS (Breadth-First Search) explores all neighbors at the present depth before moving on, while DFS (Depth-First Search) goes as deep as possible down one branch before backtracking.
In what scenarios would I use BFS over DFS?
BFS is ideal for finding the shortest path in unweighted graphs, while DFS is better for scenarios like topological sorting or when you need to explore all possibilities.
Can you give me an example of a real-world application for each?
Sure! BFS is used in social networking to find the shortest connection path, while DFS is used in puzzle solving, like mazes.
Are there any limitations to using either algorithm?
Yes, BFS can consume a lot of memory for large graphs, while DFS can get stuck in deep paths and may not find the shortest path.
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