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Which data structure would you use to implement a breadth-first search (BFS)?

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Question: Which data structure would you use to implement a breadth-first search (BFS)?

Options:

  1. Stack
  2. Queue
  3. Linked List
  4. Array

Correct Answer: Queue

Solution:

A queue is used to implement breadth-first search (BFS) because it processes nodes in the order they are discovered.

Which data structure would you use to implement a breadth-first search (BFS)?

Practice Questions

Q1
Which data structure would you use to implement a breadth-first search (BFS)?
  1. Stack
  2. Queue
  3. Linked List
  4. Array

Questions & Step-by-Step Solutions

Which data structure would you use 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 root node and explores all its neighbors before moving to the next level.
  • Step 3: Realize that to keep track of which nodes to explore next, we need a way to store them in the order they are discovered.
  • Step 4: Learn that a queue is a data structure that follows the First In, First Out (FIFO) principle, meaning the first element added is the first one to be removed.
  • Step 5: Conclude that using a queue allows BFS to process nodes in the correct order, ensuring that all nodes at the current level are explored before moving to the next level.
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