Binary Trees

• Binary search trees (BSTs): A binary tree where the left child of a node has a value less than the parent, and the right child has a value greater than the parent.
• AVL trees: A self-balancing binary search tree where the heights of the left and right subtrees of any node differ by at most one.
• Heaps: A complete binary tree where either all nodes are greater than or equal to their children (max heap), or all nodes are less than or equal to their children (min heap).

Other Tree Types

• Red-Black trees: a red–black tree is a self-balancing binary search treedata structure noted for fast storage and retrieval of ordered information.
• General trees: Trees where nodes can have an arbitrary number of children.
• N-ary trees: Trees where each node has at most N children.
• Trie: A tree-like data structure used for efficient string searching.
• Suffix tree: A trie that stores all suffixes of a string.
• Decision trees: Trees used in machine learning to make decisions based on a set of rules.

These are just a few examples of the many types of trees that exist. The choice of tree data structure depends on the specific requirements of the problem at hand.