Can you explain breadth-first search with some examples?
Sure! Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures. It explores all the neighbor nodes at the present depth prior to moving on to nodes at the next depth level.
What are some practical applications of BFS?
BFS is used in various applications such as finding the shortest path in unweighted graphs, web crawling, and social networking applications.
Can you give me a specific example of BFS in action?
Absolutely! Imagine a maze represented as a graph. BFS can be used to find the shortest path from the entrance to the exit by exploring all possible paths level by level.
How does BFS compare to depth-first search?
BFS explores all neighbors at the present depth before moving deeper, while depth-first search goes as deep as possible down one path before backtracking. This can lead to different results depending on the structure of the graph.
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