1. Overview
In this tutorial, you will learn about a balanced binary tree and its different types. Also, you will find working examples of a balanced binary tree in C, C++, Java and Python.
A balanced binary tree, also referred to as a height-balanced binary tree, is defined as a binary tree in which the height of the left and right subtree of any node differ by not more than 1.
To learn more about the height of a tree/node, visit Tree Data Structure.
Following are the conditions for a height-balanced binary tree:
- difference between the left and the right subtree for any node is not more than one
- the left subtree is balanced
- the right subtree is balanced


2. Python, Java and C/C++ Examples
The following code is for checking whether a tree is height-balanced.
Source code by Python Language:
# Checking if a binary tree is height balanced in Python class Node: def __init__(self, data): self.data = data self.left = self.right = None class Height: def __init__(self): self.height = 0 def isHeightBalanced(root, height): left_height = Height() right_height = Height() if root is None: return True l = isHeightBalanced(root.left, left_height) r = isHeightBalanced(root.right, right_height) height.height = max(left_height.height, right_height.height) + 1 if abs(left_height.height - right_height.height)
Source code by Java Language:
// Checking if a binary tree is height balanced in Java // Node creation class Node { int data; Node left, right; Node(int d) { data = d; left = right = null; } } // Calculate height class Height { int height = 0; } class BinaryTree { Node root; // Check height balance boolean checkHeightBalance(Node root, Height height) { // Check for emptiness if (root == null) { height.height = 0; return true; } Height leftHeighteight = new Height(), rightHeighteight = new Height(); boolean l = checkHeightBalance(root.left, leftHeighteight); boolean r = checkHeightBalance(root.right, rightHeighteight); int leftHeight = leftHeighteight.height, rightHeight = rightHeighteight.height; height.height = (leftHeight > rightHeight ? leftHeight : rightHeight) + 1; if ((leftHeight - rightHeight >= 2) || (rightHeight - leftHeight >= 2)) return false; else return l && r; } public static void main(String args[]) { Height height = new Height(); BinaryTree tree = new BinaryTree(); tree.root = new Node(1); tree.root.left = new Node(2); tree.root.right = new Node(3); tree.root.left.left = new Node(4); tree.root.left.right = new Node(5); if (tree.checkHeightBalance(tree.root, height)) System.out.println("The tree is balanced"); else System.out.println("The tree is not balanced"); } }
Source code by C Language:
// Checking if a binary tree is height balanced in C #include <stdio.h> #include <stdlib.h> #define bool int // Node creation struct node { int item; struct node *left; struct node *right; }; // Create a new node struct node *newNode(int item) { struct node *node = (struct node *)malloc(sizeof(struct node)); node->item = item; node->left = NULL; node->right = NULL; return (node); } // Check for height balance bool checkHeightBalance(struct node *root, int *height) { // Check for emptiness int leftHeight = 0, rightHeight = 0; int l = 0, r = 0; if (root == NULL) { *height = 0; return 1; } l = checkHeightBalance(root->left, &leftHeight); r = checkHeightBalance(root->right, &rightHeight); *height = (leftHeight > rightHeight ? leftHeight : rightHeight) + 1; if ((leftHeight - rightHeight >= 2) || (rightHeight - leftHeight >= 2)) return 0; else return l && r; } int main() { int height = 0; struct node *root = newNode(1); root->left = newNode(2); root->right = newNode(3); root->left->left = newNode(4); root->left->right = newNode(5); if (checkHeightBalance(root, &height)) printf("The tree is balanced"); else printf("The tree is not balanced"); }
Source code by C++ Language:
// Checking if a binary tree is height balanced in C++ #include using namespace std; #define bool int class node { public: int item; node *left; node *right; }; // Create anew node node *newNode(int item) { node *Node = new node(); Node->item = item; Node->left = NULL; Node->right = NULL; return (Node); } // Check height balance bool checkHeightBalance(node *root, int *height) { // Check for emptiness int leftHeight = 0, rightHeight = 0; int l = 0, r = 0; if (root == NULL) { *height = 0; return 1; } l = checkHeightBalance(root->left, &leftHeight); r = checkHeightBalance(root->right, &rightHeight); *height = (leftHeight > rightHeight ? leftHeight : rightHeight) + 1; if (std::abs(leftHeight - rightHeight >= 2)) return 0; else return l && r; } int main() { int height = 0; node *root = newNode(1); root->left = newNode(2); root->right = newNode(3); root->left->left = newNode(4); root->left->right = newNode(5); if (checkHeightBalance(root, &height)) cout << "The tree is balanced"; else cout << "The tree is not balanced"; }
3. Balanced Binary Tree Applications
- AVL tree
- Balanced Binary Search Tree
Related posts:
Tree Traversal - inorder, preorder and postorder
Linked list Data Structure
Deque Data Structure
B-tree
Selection Sort Algorithm
Graph Data Stucture
Adjacency Matrix
Binary Search
Breadth first search
Merge Sort Algorithm
Divide and Conquer Algorithm
Counting Sort Algorithm
Ford-Fulkerson Algorithm
Insertion in a Red-Black Tree
Red-Black Tree
Radix Sort Algorithm
Kruskal's Algorithm
Greedy Algorithm
Binary Search Tree (BST)
Insertion Sort Algorithm
Full Binary Tree
Bucket Sort Algorithm
Huffman Coding
Heap Data Structure
Types of Queues
Complete Binary Tree
Adjacency List
Heap Sort Algorithm
Java Program to Create a Balanced Binary Tree of the Incoming Data
Sorting Algorithm
Queue Data Structure
Types of Linked List - Singly linked, doubly linked and circular