DFS vs. BFS

DFS(Depth First Search) and BFS(Breadth First Search) are algorithms used to traverse graphs or trees. However, they differ in the way they explore the graph and the order in which they visit nodes.

Applications	DFS	BFS
Spanning forest, connected components, paths, cycles	V	V
shortest paths		V
Biconnected components	V

Depth First Search

For a graph with n nodes and m edges, the time complexity is O(m+n)
Use a stack to store nodes; stacks are LIFO (last-in, first-out)

Breadth First Search

For a graph with n nodes and m edges, the time complexity is O(m+n)
Use a queue to store nodes. Queues are FIFO
If the graph is unweighted, use BFS to obtain the shortest path