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AVL Tree

An avl tree is a specific type of binary search tree that automatically balances itself (and all of its subtrees). At any given moment, any given subtree height will differ at most by 1. Maintaining a balanced tree is beneficial because it allows a user to search for a value within it in O(log(n)) time. The main components to implementing a binary search tree are determining balance factors and implementing proper rotations.

Balance Factors

A balance factor is simple. Every node has one, and it indicates the difference in height between its two subtrees. A balanced binary search tree

Note that even though this tree appears unbalanced, it is still considered balanced because every balance factor is 1, 0, or -1. As with many tree data structures, certain functions of it can be easily accomplished recursively. Determining a node's balance factor is one such function.

Rotations

Once we have our balance factors, we use them to determine when a tree needs to be adjusted. Balancing happens as nodes are inserted or deleted, so every time the tree is changed rotations may happen. There are 4 cases for rotations:

  1. Left Left: a given node has the BF (balance factor) -2 and its left child has BF -1. To balance, rotate clockwise around the node.
  2. Right Right: a given node has the BF +2 and its right child has BF +1. To balance, rotate counter-clockwise around the node.
  3. Left Right: a given node has a BF of -2 and its left child BF is +1. To balance, rotate left around child, then right around parent.
  4. Right Left: a given node has a BF of +2 and its right child BF is -1. To balance, rotate right around child, then left around parent.

Arrays

While it makes sense to define some simple struct or class to represent each node in the form

class TreeNode {
    int data;
    TreeNode left;
    TreeNode right;
}

where left and right are references to a node's children, it's worth mentioning that binary trees can be easily represented in arrays as pictured by the following: enter image description here

any given node at index i has children at indices 2i+1 and 2i+2 (for a 0-indexed array).