The data structure used in the standard implementation of Breadth-First Search (BFS) is a Queue. So, the answer is b) Queue.

Here's why:

1. BFS starts traversal from the root node and visits nodes in a level by level manner (i.e., visiting the ones closest to the root first). Each time a node is visited, all of its neighbors are added to a queue.

2. The queue follows the First In First Out (FIFO) rule, which is exactly what we need for BFS. The oldest inserted node is the first one to be visited.

3. We keep repeating the process of removing the first node from the queue and adding all its unvisited neighbors to the queue.

4. This process continues until the queue is empty, meaning we've visited all nodes reachable from the root node.

So, the queue is the most suitable data structure for implementing BFS.

Question

The data structure used in the standard implementation of Breadth-First Search (BFS) is a Queue. So, the answer is b) Queue.

Here's why:

1. BFS starts traversal from the root node and visits nodes in a level by level manner (i.e., visiting the ones closest to the root first). Each time a node is visited, all of its neighbors are added to a queue.

2. The queue follows the First In First Out (FIFO) rule, which is exactly what we need for BFS. The oldest inserted node is the first one to be visited.

3. We keep repeating the process of removing the first node from the queue and adding all its unvisited neighbors to the queue.

4. This process continues until the queue is empty, meaning we've visited all nodes reachable from the root node.

So, the queue is the most suitable data structure for implementing BFS.

Knowee AI · Accepted Answer

The data structure used in the standard implementation of Breadth-First Search (BFS) is a Queue. So, the answer is b) Queue.

Here's why:

1. BFS starts traversal from the root node and visits nodes in a level by level manner (i.e., visiting the ones closest to the root first). Each time a node is visited, all of its neighbors are added to a queue.

2. The queue follows the First In First Out (FIFO) rule, which is exactly what we need for BFS. The oldest inserted node is the first one to be visited.

3. We keep repeating the process of removing the first node from the queue and adding all its unvisited neighbors to the queue.

4. This process continues until the queue is empty, meaning we've visited all nodes reachable from the root node.

So, the queue is the most suitable data structure for implementing BFS.

The Data structure used in standard implementation of BFS is?a)Treeb)Queuec)Stackd)Linked list

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