What are BFS and DFS in graph theory?
BFS (Breadth-First Search) and DFS (Depth-First Search) are algorithms for traversing or searching tree or graph data structures.
Can you explain how BFS works?
Sure! BFS explores all the neighbor nodes at the present depth prior to moving on to nodes at the next depth level.
What about DFS? How does it differ from BFS?
DFS explores as far as possible along a branch before backtracking, while BFS explores all neighbors at the current depth first.
In which scenarios would you use BFS over DFS?
BFS is preferred for finding the shortest path in unweighted graphs, while DFS is useful for exploring all possible paths.
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