Binary Tree
Explore the binary tree data structure, understanding its nodes, subtrees, and hierarchy. Learn how to traverse binary trees using preorder, inorder, and postorder techniques with recursion and iteration, gaining practical skills in algorithm design and implementation.
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Introduction to binary trees
The main reason we’re studying data structures is to organize data most efficiently. A binary tree is a specialized representation of data structure. A binary tree is used for data storage purposes. A tree is represented by nodes that are connected by edges or pointers.
A binary tree has a unique condition, making it very special among other data storage mechanisms. A node of a binary tree can have a maximum of two children. When it has one or two children, we call it a subtree. Each node of a subtree can have more subtrees.
When a tree node or subtree node doesn’t have children, it’s called a leaf node.
While traversing a tree, we always take the leaf node as our ending point or base case for recursion. We can search a binary tree as an ordered array. We can also insert and delete data in any binary ...