Can you explain the time complexity of operations in a binary search tree?
Sure! The time complexity for search, insert, and delete operations in a balanced binary search tree (BST) is O(log n).
What if the BST is unbalanced?
In an unbalanced BST, the time complexity can degrade to O(n) in the worst case, especially if the tree resembles a linked list.
Are there ways to keep a BST balanced?
Yes, there are self-balancing BSTs like AVL trees and Red-Black trees that maintain O(log n) time complexity for operations.
What are the advantages of using a balanced BST?
Balanced BSTs ensure efficient operations, minimizing the time complexity and improving performance for large datasets.
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