What data structure is used to implement a breadth-first search (BFS)?

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Question: What data structure is used to implement a breadth-first search (BFS)?

Options:

Correct Answer: Queue

Solution:

A queue is used to implement breadth-first search (BFS) as it processes nodes in a first-in, first-out (FIFO) manner.

What data structure is used to implement a breadth-first search (BFS)?

What data structure is used to implement a breadth-first search (BFS)?

Step 1: Understand what breadth-first search (BFS) is. It is a way to explore nodes in a graph or tree level by level.
Step 2: Know that BFS starts at a specific node and explores all its neighbors before moving on to the next level of nodes.
Step 3: Realize that to keep track of which nodes to explore next, we need a way to store them temporarily.
Step 4: Learn that a queue is the best data structure for this purpose because it follows the first-in, first-out (FIFO) principle.
Step 5: When a node is processed, it is removed from the front of the queue, and any new nodes discovered are added to the back of the queue.

Breadth-First Search (BFS) – BFS is an algorithm for traversing or searching tree or graph data structures, where it explores all neighbor nodes at the present depth prior to moving on to nodes at the next depth level.
Queue Data Structure – A queue is a linear data structure that follows the First-In-First-Out (FIFO) principle, meaning the first element added to the queue will be the first one to be removed.