What are some techniques for balancing binary search trees in C++?

What are some techniques for balancing binary search trees in C++?

There are several techniques for balancing binary search trees, including AVL trees, Red-Black trees, and Splay trees. Would you like to know more about a specific one?

Can you explain how AVL trees work?

Sure! AVL trees maintain balance by ensuring that the heights of the two child subtrees of any node differ by at most one. When an insertion or deletion causes this balance to be violated, rotations are performed to restore it.

What are rotations in AVL trees?

Rotations are operations that change the structure of the tree to restore balance. There are four types: left rotation, right rotation, left-right rotation, and right-left rotation. Each type is used based on the imbalance direction.

How do Red-Black trees differ from AVL trees?

Red-Black trees are less rigidly balanced than AVL trees, allowing for faster insertion and deletion operations. They use color properties to maintain balance, which can lead to a more efficient overall performance in certain scenarios.