Which operation is more efficient in an AVL tree compared to a Red-Black tree?

Practice Questions

Q1
Which operation is more efficient in an AVL tree compared to a Red-Black tree?
  1. Insertion
  2. Deletion
  3. Searching
  4. All of the above

Questions & Step-by-Step Solutions

Which operation is more efficient in an AVL tree compared to a Red-Black tree?
  • Step 1: Understand what AVL trees and Red-Black trees are. Both are types of self-balancing binary search trees.
  • Step 2: Know that 'searching' means looking for a value in the tree.
  • Step 3: Learn that AVL trees are more strictly balanced than Red-Black trees. This means the height of an AVL tree is usually shorter.
  • Step 4: Realize that a shorter height in a tree means fewer steps are needed to find a value.
  • Step 5: Conclude that because AVL trees are more balanced, searching for a value in an AVL tree is more efficient than in a Red-Black tree.
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