## Can you use BFS on a weighted graph?

BFS will not work on weighted graphs since the path with the fewest edges may not be the shortest if the edges it contains are expensive. However, if all the weights are intergers and they are bounded by a small number, say k, we can still use BFS.

## What is breadth first traversal in graph?

Breadth First Search (BFS) algorithm traverses a graph in a breadthward motion and uses a queue 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, BFS algorithm traverses from A to B to E to F first then to C and G lastly to D.

**Does DFS work on weighted graphs?**

DFS do not use weights in any case.

### Can we perform BFS and DFS on weighted graphs?

For starters, DFS is off the table and doesn’t work for shortest paths at all. Secondly, this answer correctly explains why BFS fails on weighted graphs with cycles and suggests Dijkstra’s, replacing the queue with a priority queue and allowing relaxation if a new, shorter path is found to a node.

### Can we use BFS algorithm to find the shortest paths in A weighted graph?

And so, the only possible way for BFS (or DFS) to find the shortest path in a weighted graph is to search the entire graph and keep recording the minimum distance from source to the destination vertex.

**Does BFS work with negative edges?**

BFS is applicable to unweighted graphs (or graphs where all edges have the same weight). For weighted graphs one can use algorithms such as Dijkstra’s (which is a “modified BFS”), or A* (which is a “modified Dijkstra’s”) . However both Dijkstra’s or A* do not work correctly with negative weights.

## What is DFS and BFS in graph?

BFS stands for Breadth First Search. DFS stands for Depth First Search. Technique. It a vertex-based technique to find the shortest path in a graph. It is an edge-based technique because the vertices along the edge are explored first from the starting to the end node.

## Does breadth first search find the shortest path?

Breadth-first search will always find the shortest path in an unweighted graph.

**How do you use the breadth first search to find shortest path?**

Finding the shortest cycle in a directed unweighted graph: Start a breadth-first search from each vertex. As soon as we try to go from the current vertex back to the source vertex, we have found the shortest cycle containing the source vertex. At this point we can stop the BFS, and start a new BFS from the next vertex.

### What is breadth first traversal for a graph?

Breadth First Traversal (or Search) for a graph is similar to Breadth First Traversal of a tree (See method 2 of this post ). The only catch here is, unlike trees, graphs may contain cycles, so we may come to the same node again.

### What is breadth-first search in a graph?

Breadth-First Search ( or Traversal) in a Graph is quite similar to Binary Tree. Click here to read about BFS in Binary Tree. Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root and explores the neighbor nodes first, before moving to the next level neighbors.

**What is traversal algorithm?**

Traversal means visiting all the nodes of a graph. Breadth First Traversal or Breadth First Search is a recursive algorithm for searching all the vertices of a graph or tree data structure. A standard BFS implementation puts each vertex of the graph into one of two categories:

## What are the implementations of simple breadth-first traversal?

Following are the implementations of simple Breadth-First Traversal from a given source. The implementation uses an adjacency list representation of graphs. STL ‘s list container is used to store lists of adjacent nodes and the queue of nodes needed for BFS traversal.