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Is DFS or BFS more memory efficient?

Posted on April 24, 2020 by Author

Is DFS or BFS more memory efficient?

The DFS needs less memory as it only has to keep track of the nodes in a chain from the top to the bottom, while the BFS has to keep track of all the nodes on the same level. For example, in a (balanced) tree with 1023 nodes the DFS has to keep track of 10 nodes, while the BFS has to keep track of 512 nodes.

Is breadth-first search efficient?

Breadth-first search is less space efficient than depth-first search because BFS keeps a priority queue of the entire frontier while DFS maintains a few pointers at each level. BFS always returns an optimal answer, but this is not guaranteed for DFS.

Is BFS or DFS better for Shortest Path?

BFS can be used to find single source shortest path in an unweighted graph, because in BFS, we reach a vertex with minimum number of edges from a source vertex. BFS is more suitable for searching vertices which are closer to the given source. DFS is more suitable when there are solutions away from source.

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Why is DFS faster than BFS?

DFS is faster than BFS. Time Complexity of BFS = O(V+E) where V is vertices and E is edges. Time Complexity of DFS is also O(V+E) where V is vertices and E is edges.

Why is DFS space efficient than BFS?

In DFS you need only space for linear to the depth O(log(n)) on a fully balanced tree while BFS (Breadth-first search) needs O(n) (The widest part of the tree is the lowest depth which has in a binary tree n/2 nodes).

Why is DFS faster?

If the search can be aborted when a matching element is found, BFS should typically be faster if the searched element is typically higher up in the search tree because it goes level by level. DFS might be faster if the searched element is typically relatively deep and finding one of many is sufficient.

How is BFS better than IDS?

@William Morrison You’re talking about training up a heuristic or evaluation function on the initial shallower searches to make better decisions using pruning or heuristic search techniques. BFS could also be run repeatedly with early cutoff to train a heuristic, in which case it could take the same shortcuts.

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What is best first search algorithm in AI?

The Greedy BFS algorithm selects the path which appears to be the best, it can be known as the combination of depth-first search and breadth-first search. Greedy BFS makes use of Heuristic function and search and allows us to take advantages of both algorithms.

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