Which of the following operations is more efficient in AVL trees compared to Red

Practice Questions

Q1
Which of the following operations is more efficient in AVL trees compared to Red-Black trees?
  1. Search
  2. Insertion
  3. Deletion
  4. Traversal

Questions & Step-by-Step Solutions

Which of the following operations is more efficient in AVL trees compared to Red-Black trees?
  • Step 1: Understand what AVL trees and Red-Black trees are. Both are types of self-balancing binary search trees.
  • Step 2: Learn that AVL trees maintain a stricter balance than Red-Black trees. This means that the height difference between the left and right subtrees is always at most 1 in AVL trees.
  • Step 3: Recognize that because AVL trees are more strictly balanced, they can provide faster search operations. This is because the height of the tree is lower, leading to fewer comparisons when searching for a value.
  • Step 4: Compare the search efficiency: In AVL trees, the search operation is generally faster due to the stricter balancing, while Red-Black trees may have a slightly taller structure, leading to more comparisons.
  • Step 5: Conclude that search operations are more efficient in AVL trees compared to Red-Black trees.
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