What are the advantages of using Breadth-First Search?
Breadth-First Search (BFS) has several advantages, including finding the shortest path in unweighted graphs and exploring all neighbors at the present depth before moving on.
Can you explain how BFS finds the shortest path?
Sure! BFS explores all nodes at the present depth level before moving on to nodes at the next depth level, ensuring that the first time it reaches a node, it does so via the shortest path.
Are there any scenarios where BFS is preferred over DFS?
Yes, BFS is preferred in scenarios where the shortest path is needed, such as in unweighted graphs, or when the solution is closer to the root.
What are the limitations of BFS?
BFS can consume a lot of memory, as it stores all child nodes at the current level, which can be problematic for large graphs.
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