Which traversal method is more suitable for searching deep trees?

Practice Questions

Q1
Which traversal method is more suitable for searching deep trees?
  1. BFS
  2. DFS
  3. Both are equally suitable
  4. Neither

Questions & Step-by-Step Solutions

Which traversal method is more suitable for searching deep trees?
  • Step 1: Understand what a tree is. A tree is a data structure that consists of nodes connected by edges, with a single root node at the top.
  • Step 2: Learn about tree traversal methods. There are two main types: Depth-First Search (DFS) and Breadth-First Search (BFS).
  • Step 3: Know what DFS does. DFS explores as far down one branch of the tree as possible before backtracking to explore other branches.
  • Step 4: Understand what BFS does. BFS explores all the nodes at the present depth level before moving on to the nodes at the next depth level.
  • Step 5: Consider the structure of deep trees. Deep trees have many levels and fewer nodes at each level.
  • Step 6: Realize that DFS is more efficient for deep trees because it can quickly go deep into the tree without needing to explore all nodes at the current level first.
  • Step 7: Conclude that for searching deep trees, DFS is the better choice because it minimizes the number of nodes it needs to explore before finding a solution.
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