Can you tell me which algorithm is faster, BFS or DFS?
It depends on the context! BFS (Breadth-First Search) is generally faster for finding the shortest path in unweighted graphs, while DFS (Depth-First Search) can be faster in terms of memory usage for deep graphs.
What about their time complexity?
Both BFS and DFS have a time complexity of O(V + E), where V is the number of vertices and E is the number of edges. However, their space complexity differs.
How does their space complexity compare?
BFS requires O(V) space for the queue, while DFS can be more memory efficient with O(h) space, where h is the maximum depth of the tree.
In what scenarios would you prefer one over the other?
You'd prefer BFS for shortest path problems in unweighted graphs, while DFS is better for scenarios where you need to explore all paths or when memory is a constraint.
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