What are the limitations of BFS?
An example of an AI chatbot conversation about the limitations of Breadth-First Search (BFS).
What are the limitations of BFS?
BFS can be memory-intensive as it stores all nodes at the current level before moving to the next. This can be problematic for large graphs.
Are there specific scenarios where BFS is not suitable?
Yes, BFS is not ideal for graphs with high branching factors or when the solution is deep in the graph, as it may take a long time to reach.
How does BFS compare to DFS in terms of limitations?
BFS is better for finding the shortest path, but DFS can be more memory efficient and faster in some cases, especially in deep graphs.
Can BFS handle weighted graphs?
BFS does not account for weights; for weighted graphs, algorithms like Dijkstra's are more appropriate.
What are some practical applications of BFS despite its limitations?
BFS is widely used in networking, shortest path finding in unweighted graphs, and in algorithms like web crawling.
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