## What is breadth first search of tree?

Breadth-first search (BFS) is an algorithm for searching a tree data structure for a node that satisfies a given property. It starts at the tree root and explores all nodes at the present depth prior to moving on to the nodes at the next depth level.

## What is BFS algorithm example?

Advertisements. 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.

**How can I solve my boyfriends?**

Algorithm for BFS: Step 1: Choose any one node randomly, to start traversing. Step 2: Visit its adjacent unvisited node. Step 3: Mark it as visited in the boolean array and display it. Step 4: Insert the visited node into the queue.

**How does BFS and DFS work?**

BFS(Breadth First Search) uses Queue data structure for finding the shortest path. DFS(Depth First Search) uses Stack data structure. 3. BFS is a traversal approach in which we first walk through all nodes on the same level before moving on to the next level.

### How do you turn a tree into a graph?

Given an array arr[] of size N. There is an edge from i to arr[i]. The task is to convert this directed graph into tree by changing some of the edges. If for some i, arr[i] = i then i represents the root of the tree.

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

DFS uses Stack to find the shortest path. BFS is better when target is closer to Source. DFS is better when target is far from source. As BFS considers all neighbour so it is not suitable for decision tree used in puzzle games.

**Can trees convert to graphs?**

You can convert a tree structure into a graph structure by fully traversing the tree in any manner, but the efficiency depends on the actual data structures involved. @ufo a tree is a directed acyclic graph with the speciality of having a root node and every path from the root to a leaf node being unique.

**How do you graph a directed tree?**

In the case of directed graphs, we must perform a series of steps:

- Find the root of the tree, which is the vertex with no incoming edges. If no node exists, then return.
- Perform a DFS to check that each node has exactly one parent. If not, return.
- Make sure that all nodes are visited.
- Otherwise, the graph is a tree.

#### What is space complexity in BFS?

O(|V|) = O(b^d)Breadth-first search / Space complexity

#### Why is breadth first search optimal?

BFS is optimal if all the step costs are the same. For any step-cost function, uniform cost search expands the node with least path cost. To implement this, the frontier will be stored in a priority queue.

**Does DFS make a tree?**

The DFS will create a virtual tree on every structure you apply it to. This tree is known as a spanning tree of the structure. They exist for graphs, digraphs and even arrays or other structures than can be visited by a DFS. Of course there will be many edges that won’t be on that tree.

**What is the difference between BFS and DFS tree?**

DFS, stands for Depth First Search. BFS uses Queue to find the shortest path. DFS uses Stack to find the shortest path. BFS is better when target is closer to Source.

## When a graph will be called a tree state the difference between DFS and BFS?

Difference between BFS and DFS Binary Tree

BFS | DFS |
---|---|

It uses a queue to keep track of the next location to visit. | It uses a stack to keep track of the next location to visit. |

BFS traverses according to tree level. | DFS traverses according to tree depth. |

It is implemented using FIFO list. | It is implemented using LIFO list. |