How do AVL trees compare to Red-Black trees?
AVL trees and Red-Black trees are both self-balancing binary search trees, but they have different balancing techniques.
What are the main differences in their balancing methods?
AVL trees maintain a stricter balance by ensuring the heights of subtrees differ by at most one, while Red-Black trees allow more flexibility.
Which one is better for search operations?
AVL trees generally provide faster search operations due to their stricter balancing, but Red-Black trees offer better performance for insertions and deletions.
Are there specific use cases where one is preferred over the other?
Yes, AVL trees are preferred in applications requiring frequent searches, while Red-Black trees are better for applications with many insertions and deletions.
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