# Which Is Better BFS Or DFS?

## Why BFS is preferred over DFS?

BFS can be used to find the shortest path, with unit weight edges, from a node (origional source) to another.

Whereas, DFS can be used to exhaust all the choices because of its nature of going in depth, like discovering the longest path between two nodes in an acyclic graph..

## What is the difference between DFS and BFS explain with example?

The major difference between BFS and DFS is that BFS proceeds level by level while DFS follows first a path form the starting to the ending node (vertex), then another path from the start to end, and so on until all nodes are visited. … BFS and DFS are the traversing methods used in searching a graph.

## Why BFS is slower than DFS?

Comparing BFS and DFS, the big advantage of DFS is that it has much lower memory requirements than BFS, because it’s not necessary to store all of the child pointers at each level. … Then, a BFS would usually be faster than a DFS. So, the advantages of either vary depending on the data and what you’re looking for.

## Why stack is used in DFS?

Depth First Search (DFS) algorithm traverses a graph in a depthward motion and uses a stack to remember to get the next vertex to start a search, when a dead end occurs in any iteration. As in the example given above, DFS algorithm traverses from S to A to D to G to E to B first, then to F and lastly to C.

## Under what condition BFS is optimal?

BFS is optimal if the path cost is a non-decreasing function of d(depth). Normally, BFS is applied when all the actions have the same cost. Optimal as in “produces the optimal path”, not “is the fastest algorithm possible”.

## Can BFS be used to find cycles?

BFS wont work for a directed graph in finding cycles. Consider A->B and A->C->B as paths from A to B in a graph. BFS will say that after going along one of the path that B is visited. When continuing to travel the next path it will say that marked node B has been again found,hence, a cycle is there.

## Is BFS faster than DFS?

BFS is slower than DFS. DFS is faster than BFS. Time Complexity of BFS = O(V+E) where V is vertices and E is edges. Time Complexity of DFS is also O(V+E) where V is vertices and E is edges.

## What is BFS in data structure?

Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures.

## What are the applications of BFS and DFS?

Using GPS navigation system BFS is used to find neighboring places. In networking, when we want to broadcast some packets, we use the BFS algorithm. Path finding algorithm is based on BFS or DFS. BFS is used in Ford-Fulkerson algorithm to find maximum flow in a network.

## Does DFS find shortest path?

4 Answers. DFS does not necessarily yield shortest paths in an undirected graph. BFS would be the correct choice here.

## What is DFS algorithm example?

Depth-first searchOrder in which the nodes are visitedClassSearch algorithmWorst-case space complexityif entire graph is traversed without repetition, O(longest path length searched) = for implicit graphs without elimination of duplicate nodes2 more rows

## WHAT IS A * algorithm in AI?

Description. A* is an informed search algorithm, or a best-first search, meaning that it is formulated in terms of weighted graphs: starting from a specific starting node of a graph, it aims to find a path to the given goal node having the smallest cost (least distance travelled, shortest time, etc.).

## How do I use BFS to find shortest path?

To find the shortest path, all you have to do is start from the source and perform a breadth first search and stop when you find your destination Node. The only additional thing you need to do is have an array previous[n] which will store the previous node for every node visited. The previous of source can be null.

## Is Dijkstra a BF?

You can implement Dijkstra’s algorithm as BFS with a priority queue (though it’s not the only implementation). Dijkstra’s algorithm relies on the property that the shortest path from s to t is also the shortest path to any of the vertices along the path. This is exactly what BFS does.

## Why is DFS not optimal?

DFS is non-optimal in nature. … In DFS, we need to store only the nodes which are present in the path from the root to the current node and their unexplored successors. For state space with branching factor b and maximum depth m, DFS has space complexity of O(bm), a much better improvement over that of BFS.

## Which data structure is used in BFS?

Breadth First Search Algorithm The data structure used in BFS is a queue and a graph.

## Is DFS greedy?

Most algorithms consist of an Initialisation phase in which variables are set up, and a Recursive or Iterative stage which recurses through the graph, usually either as a BFS or a DFS. Another idea in algorithms is that of a Greedy Algorithm. … In this example of DFS, each vertex v is assigned and index D(v).

## How do I apply for BFS?

BFS algorithmStart by putting any one of the graph’s vertices at the back of a queue.Take the front item of the queue and add it to the visited list.Create a list of that vertex’s adjacent nodes. … Keep repeating steps 2 and 3 until the queue is empty.