How can I optimize BFS and DFS algorithms?
To optimize BFS and DFS, consider using iterative deepening for DFS and a queue with a visited set for BFS.
What data structures should I use for these optimizations?
For BFS, use a queue and a set to track visited nodes. For DFS, a stack or recursion with a visited set works well.
Are there any specific scenarios where one is better than the other?
Yes, BFS is better for finding the shortest path in unweighted graphs, while DFS is useful for exploring all paths.
Can you give me an example of optimizing DFS?
Sure! You can implement iterative deepening DFS to limit the depth of recursion and avoid stack overflow.
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