How do I implement advanced features in C++ binary search trees?

How do I implement advanced features in C++ binary search trees?

You can implement features like balancing, self-adjusting trees, or augmenting the tree with additional data. Which one are you interested in?

I'm interested in balancing techniques. Can you explain AVL trees?

Sure! AVL trees are a type of self-balancing binary search tree where the difference in heights between left and right subtrees is at most one.

How do I perform rotations in an AVL tree?

Rotations are used to maintain balance. There are four types: left rotation, right rotation, left-right rotation, and right-left rotation. Would you like to see code examples?

Yes, please provide a code example for left rotation.

Here's a simple implementation of left rotation in C++:

Node* leftRotate(Node* root) {
    Node* newRoot = root->right;
    root->right = newRoot->left;
    newRoot->left = root;
    return newRoot;
}