What is the complexity of iterative deepening DFS?
Iterative deepening DFS has a time complexity of O(b^d) and a space complexity of O(d), where b is the branching factor and d is the depth.
Why is the space complexity O(d)?
The space complexity is O(d) because it only needs to store the current path from the root to the deepest node, which is at most d nodes.
How does it compare to regular DFS?
Unlike regular DFS, which can use O(b) space, iterative deepening DFS is more memory efficient, making it suitable for deep search spaces.
Can you explain the advantages of using iterative deepening DFS?
Sure! It combines the space efficiency of DFS with the completeness of BFS, making it ideal for large search trees.
Are there any drawbacks to using iterative deepening DFS?
Yes, the main drawback is that it can be slower than DFS due to repeated exploration of nodes at shallower depths.
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