The correct answer is a) Queue.

Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root (or some arbitrary node of a graph, sometimes referred to as a 'search key') and explores the neighbor nodes at the present depth prior to moving on to nodes at the next depth level.

The BFS algorithm uses a queue data structure to keep track of the nodes to visit next. When you visit a node, you add all of its unvisited neighbors to the back of the queue. This way, you visit nodes in order of their distance from the root, ensuring a breadth-first traversal.

So, the queue data structure is useful in traversing a given graph by breadth first search.

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The correct answer is a) Queue.

Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root (or some arbitrary node of a graph, sometimes referred to as a 'search key') and explores the neighbor nodes at the present depth prior to moving on to nodes at the next depth level.

The BFS algorithm uses a queue data structure to keep track of the nodes to visit next. When you visit a node, you add all of its unvisited neighbors to the back of the queue. This way, you visit nodes in order of their distance from the root, ensuring a breadth-first traversal.

So, the queue data structure is useful in traversing a given graph by breadth first search.

Knowee AI · Accepted Answer

The correct answer is a) Queue.

Breadth-first search (BFS) is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root (or some arbitrary node of a graph, sometimes referred to as a 'search key') and explores the neighbor nodes at the present depth prior to moving on to nodes at the next depth level.

The BFS algorithm uses a queue data structure to keep track of the nodes to visit next. When you visit a node, you add all of its unvisited neighbors to the back of the queue. This way, you visit nodes in order of their distance from the root, ensuring a breadth-first traversal.

So, the queue data structure is useful in traversing a given graph by breadth first search.

Which of the following data structure is useful in traversing a given graph by breadth first search?a)Queueb)None of the mentionedc)Listd)Stack

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