Get Differences between BFS and DFS

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Breadth-first search(BFS) and Depth-first search(DFS) both are graph traversal algorithms. Graph traversal is the Process of viewing all of the nodes within a graph.

Breadth-first search begins with a random initial node and explores all nodes in the current layer before moving on to nodes in the next layer.

Depth-first search algorithm begins with the first node of the graph and goes deeper until we find the goal node or the node with no children.

So let’s deep dive into the differences.

BFS	DFS
BFS stands for Breadth First Search.	DFS stands for Depth First Search.
BFS uses the Queue Data Structure(FIFO) for finding the shortest path.	DFS uses the Stack Data Structure(LIFO) for finding the shortest path.
BFS performs better when the target stays near to the source.	DFS performs better when the target stays further away from the source.
BFS uses more memory when compared to DFS.	DFS takes less memory in comparison to BFS.
In BFS, there is no need to go back or backtracking is not required.	In DFS, it requires backtracking.
In BFS, users will never be trapped in infinite loops.	In DFS, users may be trapped into infinite loops.
BFS moves more slowly than DFS.	DFS is quicker than BFS.

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Breadth-first search

Depth-first search

Algorithms

Graph traversal algorithms

Breadth-first search

Depth-first search

Algorithms

Graph traversal algorithms