Can you explain what iterative deepening depth-first search is?
Sure! Iterative deepening DFS is a search algorithm that combines the depth-first search's space efficiency with breadth-first search's completeness.
How does it work in practice?
It works by repeatedly performing depth-first searches with increasing depth limits until the goal is found.
What are the advantages of using this method?
The main advantages are that it uses less memory than breadth-first search and guarantees finding the shortest path in an unweighted graph.
Are there any downsides to iterative deepening DFS?
Yes, it can be slower than other methods because it revisits nodes multiple times.
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