![]() ![]() In BFS, there is no problem of trapping into finite loops. Time Complexity of DFS is also O(V+E) where V is vertices and E is edges. Time Complexity of BFS = O(V+E) where V is vertices and E is edges. ![]() As with one decision, we need to traverse further to augment the decision. The following are the important differences between BFS and DFS −īFS uses a Queue to find the shortest path.ĭFS uses a Stack to find the shortest path.īFS is better when target is closer to Source.ĭFS is better when target is far from source.Īs BFS considers all neighbor so it is not suitable for decision tree used in puzzle games.ĭFS is more suitable for decision tree. Example of DFS Difference between BFS and DFS DFS is also called Edge Based Traversal because it explores the nodes along the edge or path. Example of BFS What is DFS?ĭepth First Search (DFS) algorithm traverses a graph in a depth-ward motion and uses a stack to remember to get the next vertex to start a search when a deadend occurs in any iteration.ĭFS uses LIFO (Last In First Out) principle while using Stack to find the shortest path. ![]() However, BFS is slower and requires a large memory space. BFS moves through all of its nodes which are connected to the individual nodes.īFS uses the FIFO (First In First Out) principle while using the Queue to find the shortest path. What is BFS?īreadth First Search (BFS) algorithm traverses a graph in a breadth-ward motion and uses a queue to remember to get the next vertex to start a search when a dead end occurs in any iteration.īFS is basically a nodebased algorithm which is used to find the shortest path in the graph between two nodes. Read this article to learn more about these two graph traversal algorithms and how they are different from each other. On the other hand, DFS or Depth First Search starts from the top node and follows a path to reaches the end node of the path. BFS or Breadth First Search starts from the top node in the graph and travels down until it reaches the root node. Both BFS and DFS are types of graph traversal algorithms, but they are different from each other. ![]()
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