Discussion
When is iterative deepening the strategy of choice?
Answer: A
Its combination of completeness, optimality with unit costs and linear memory suits exactly the case where the space is too large for breadth first and the depth is not known in advance. Varying costs call for uniform cost search, a small space admits anything, and a heuristic should be used if one exists, which moves the problem into informed search. Matching the algorithm to what is known about the problem is the practical content of the comparison table.
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