Trees are really interesting structures in computer science! Let’s break down some basic types of trees to make them easier to understand:
Binary Tree: This type of tree has a special rule. Each point, or node, can have up to two parts, called children. It’s simple and forms the base for other types of trees.
Binary Search Tree: This is a special kind of binary tree. In this tree, the left child is always smaller than its parent, and the right child is always bigger. This setup helps us find things quickly.
Balanced Trees: These trees keep everything even so that we can do things faster. Examples include AVL trees and Red-Black trees.
Heap: A heap is a complete binary tree. It's mainly used for priority queues, where we want to keep track of the most important items.
Understanding these types of trees helps us learn about tree traversals and more tricky topics later on!
Trees are really interesting structures in computer science! Let’s break down some basic types of trees to make them easier to understand:
Binary Tree: This type of tree has a special rule. Each point, or node, can have up to two parts, called children. It’s simple and forms the base for other types of trees.
Binary Search Tree: This is a special kind of binary tree. In this tree, the left child is always smaller than its parent, and the right child is always bigger. This setup helps us find things quickly.
Balanced Trees: These trees keep everything even so that we can do things faster. Examples include AVL trees and Red-Black trees.
Heap: A heap is a complete binary tree. It's mainly used for priority queues, where we want to keep track of the most important items.
Understanding these types of trees helps us learn about tree traversals and more tricky topics later on!