In which scenarios is DFS typically preferred over BFS?
- When memory usage is a critical factor and the solution is deep in the search tree.
- When the graph is dense and there are many levels of hierarchy.
- When the graph is sparse and the solution is likely to be found at a lower depth.
- When the solution is close to the root of the search tree.
DFS is typically preferred over BFS when memory usage is a critical factor, and the solution is deep in the search tree. This is because DFS explores as far as possible along each branch before backtracking, which might reduce memory requirements compared to BFS.
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