How does depth-first search work in solving puzzles?
Depth-first search (DFS) is an algorithm that explores as far as possible along each branch before backtracking. In puzzles, it helps find solutions by exploring one path completely before trying another.
Can you give me an example of a puzzle where DFS is used?
Sure! A classic example is the maze-solving problem. DFS can be used to explore paths in the maze until it finds the exit.
What are the advantages of using DFS over other search algorithms?
DFS is memory efficient since it only needs to store a single path from the root to a leaf node, unlike breadth-first search which stores all nodes at the current level.
Are there any limitations to using DFS?
Yes, DFS can get stuck in deep paths and may not find the shortest solution. It also may not work well for infinite or very large search spaces.
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