Difference Between BFS and DFS Traversal
The below table illustrates the key differences between BFS and DFS traversals of a graph.
| Feature | BFS Traversal | DFS Traversal |
|---|---|---|
Full Form | The BFS stands for Breadth First Search traversal. | The DFS stands for Depth First Search traversal. |
Traversal Method | It explores all neighbors at the present depth | It explores as far as possible along a branch. |
Data Structure Used | Queue | Stack (or recursion) |
Level -wise Traversal | Yes | No |
Pathfinding | It finds the shortest path in unweighted graphs | It does not guarantee the shortest path |
Memory Usage | Higher, as it needs to store all children at the current level | Lower, as it only stores nodes along the current path |
Traversal Order | Horizontal (level by level) | Vertical (depth by depth) |
Backtracking | No | Yes |
C++ Program for BFS Traversal
In C++, breadth First Search (BFS) is a method used to navigate through tree or graph data structures. It begins at the starting point or any chosen node, within the structure. Examines the neighboring nodes at the current level before progressing to nodes, at deeper levels.. In this article, we will learn the BFS traversal in C++, the implementation of the BFS traversal algorithm, and applications of the BFS algorithm.