Breadth-first search (BFS) and depth-first search (DFS) are two popular algorithms used for traversing or searching tree or graph data structures. Both techniques have their own advantages and disadvantages, which makes them suitable for different types of problems. This article will discuss the key differences between BFS and DFS.
About Difference Between Bfs And Dfs
| Algorithm | Difference |
|---|---|
| BFS (Breadth First Search) | Explores all the nodes on each level before going deeper. |
| DFS (Depth First Search) | Explores down a single branch as far as possible before backtracking. |
| Data Structure Used | BFS uses Queue and DFS uses Stack. |
| Time Complexity | BFS has higher time complexity than DFS. |
| Space Complexity | DFS has higher space complexity than BFS. |
| Application | BFS is used for finding shortest path while DFS is used for traversing a graph. |
| Optimality | BFS provides optimal solution whereas DFS does not. |
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