What are the variations of iterative deepening DFS?
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What are the variations of iterative deepening DFS?
Iterative Deepening DFS (IDDFS) combines the depth-first search's space efficiency with breadth-first search's completeness. Variations include depth-limited search and bidirectional search.
Can you explain depth-limited search in more detail?
Sure! Depth-limited search is a variation where you set a maximum depth limit. If the search reaches this limit, it backtracks, preventing infinite paths.
What about bidirectional search? How does it work?
Bidirectional search simultaneously explores from both the start and goal nodes, meeting in the middle. This can significantly reduce search time.
Are there any drawbacks to using IDDFS?
Yes, while IDDFS is memory efficient, it can be slower than other algorithms due to repeated exploration of nodes at shallower depths.
In what scenarios would you recommend using IDDFS?
IDDFS is ideal for large search spaces where the depth is unknown, such as puzzle solving or game tree exploration.
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