What are the differences between DFS and BFS algorithms?
DFS (Depth-First Search) explores as far as possible along each branch before backtracking, while BFS (Breadth-First Search) explores all neighbors at the present depth prior to moving on to nodes at the next depth level.
Can you give me an example of when to use DFS?
Sure! DFS is useful for scenarios like solving puzzles with only one solution, such as mazes, or when you need to explore all possible paths.
And what about BFS? When is it preferred?
BFS is preferred when you need the shortest path in an unweighted graph, like in social networking applications or finding the shortest route in maps.
Are there any specific data structures used for these algorithms?
Yes! DFS typically uses a stack (or recursion), while BFS uses a queue to keep track of the nodes to explore next.
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