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What is a key difference between BFS and DFS?

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Question: What is a key difference between BFS and DFS?

Options:

  1. BFS uses a stack, DFS uses a queue.
  2. BFS explores nodes level by level, DFS explores as far as possible along a branch.
  3. BFS is faster than DFS.
  4. DFS is always more memory efficient than BFS.

Correct Answer: BFS explores nodes level by level, DFS explores as far as possible along a branch.

Solution: 

BFS explores nodes level by level, while DFS explores as far as possible along a branch before backtracking.

What is a key difference between BFS and DFS?

Practice Questions

Q1
What is a key difference between BFS and DFS?
  1. BFS uses a stack, DFS uses a queue.
  2. BFS explores nodes level by level, DFS explores as far as possible along a branch.
  3. BFS is faster than DFS.
  4. DFS is always more memory efficient than BFS.

Questions & Step-by-Step Solutions

What is a key difference between BFS and DFS?
  • Step 1: Understand that BFS stands for Breadth-First Search.
  • Step 2: Know that BFS explores all the nodes at the present depth level before moving on to the nodes at the next depth level.
  • Step 3: Understand that DFS stands for Depth-First Search.
  • Step 4: Know that DFS explores as far down a branch as possible before backtracking to explore other branches.
  • Step 5: Remember that BFS uses a queue to keep track of nodes to explore next, while DFS uses a stack (or recursion).
  • Breadth-First Search (BFS) – BFS is an algorithm that explores all the neighbor nodes at the present depth prior to moving on to nodes at the next depth level.
  • Depth-First Search (DFS) – DFS is an algorithm that explores as far down a branch as possible before backtracking to explore other branches.
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