What are the benefits of using balanced trees in data structures?
Balanced trees, like AVL or Red-Black trees, maintain a balanced height, ensuring efficient operations.
How do they improve search times compared to unbalanced trees?
They reduce the worst-case search time to O(log n), while unbalanced trees can degrade to O(n).
Are there specific scenarios where balanced trees are preferred?
Yes, they are ideal for applications requiring frequent insertions and deletions, like databases.
What are some common types of balanced trees?
Common types include AVL trees, Red-Black trees, and B-trees, each with unique balancing methods.
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