Balanced search tree implementation and related traversal problems

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Balanced search trees are data structures that maintain a balanced height to ensure efficient search operations.

Balanced search trees like AVL trees and Red-Black trees ensure O(log n) time complexity for search, insert, and delete operations.
Traversal problems in balanced search trees include in-order, pre-order, and post-order traversal.
In-order traversal of a balanced search tree will result in a sorted list of elements.
Pre-order traversal visits the root node first, followed by the left subtree, and then the right subtree.
Post-order traversal visits the left subtree, right subtree, and then the root node.

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