Count Balanced Binary Trees of Height h
Last Updated : 10 Dec, 2022
Given a height h, count and return the maximum number of balanced binary trees possible with height h. A balanced binary tree is one in which for every node, the difference between heights of left and right subtree is not more than 1.
Examples :
Input : h = 3 Output : 15 Input : h = 4 Output : 315
Following are the balanced binary trees of height 3.

Height of tree, h = 1 + max(left height, right height)
Since the difference between the heights of left and right subtree is not more than one, possible heights of left and right part can be one of the following:
- (h-1), (h-2)
- (h-2), (h-1)
- (h-1), (h-1)
count(h) = count(h-1) * count(h-2) + count(h-2) * count(h-1) + count(h-1) * count(h-1) = 2 * count(h-1) * count(h-2) + count(h-1) * count(h-1) = count(h-1) * (2*count(h - 2) + count(h - 1))
Hence we can see that the problem has optimal substructure property.
A recursive function to count no of balanced binary trees of height h is:
int countBT(int h) { // One tree is possible with height 0 or 1 if (h == 0 || h == 1) return 1; return countBT(h-1) * (2 *countBT(h-2) + countBT(h-1)); }
The time complexity of this recursive approach will be exponential. The recursion tree for the problem with h = 3 looks like :

As we can see, sub-problems are solved repeatedly. Therefore we store the results as we compute them.
An efficient dynamic programming approach will be as follows :
Below is the implementation of above approach:
C++ // C++ program to count number of balanced // binary trees of height h. #include <bits/stdc++.h> #define mod 1000000007 using namespace std; long long int countBT(int h) { long long int dp[h + 1]; //base cases dp[0] = dp[1] = 1; for(int i = 2; i <= h; i++) { dp[i] = (dp[i - 1] * ((2 * dp [i - 2])%mod + dp[i - 1])%mod) % mod; } return dp[h]; } // Driver program int main() { int h = 3; cout << "No. of balanced binary trees" " of height h is: " << countBT(h) << endl; }
Java // Java program to count number of balanced // binary trees of height h. import java.io.*; class GFG { static final int MOD = 1000000007; public static long countBT(int h) { long[] dp = new long[h + 1]; // base cases dp[0] = 1; dp[1] = 1; for(int i = 2; i <= h; ++i) dp[i] = (dp[i - 1] * ((2 * dp [i - 2])% MOD + dp[i - 1]) % MOD) % MOD; return dp[h]; } // Driver program public static void main (String[] args) { int h = 3; System.out.println("No. of balanced binary trees of height "+h+" is: "+countBT(h)); } } /* This code is contributed by Brij Raj Kishore */
Python3 # Python3 program to count number of balanced # binary trees of height h. def countBT(h) : MOD = 1000000007 #initialize list dp = [0 for i in range(h + 1)] #base cases dp[0] = 1 dp[1] = 1 for i in range(2, h + 1) : dp[i] = (dp[i - 1] * ((2 * dp [i - 2])%MOD + dp[i - 1])%MOD) % MOD return dp[h] #Driver program h = 3 print("No. of balanced binary trees of height "+str(h)+" is: "+str(countBT(h))) # This code is contributed by # Brij Raj Kishore
C# // C# program to count number of balanced // binary trees of height h. using System; class GFG { static int MOD = 1000000007; public static long countBT(int h) { long[] dp = new long[h + 1]; // base cases dp[0] = 1; dp[1] = 1; for(int i = 2; i <= h; ++i) dp[i] = (dp[i - 1] * ((2 * dp [i - 2])% MOD + dp[i - 1]) % MOD) % MOD; return dp[h]; } // Driver program static void Main () { int h = 3; Console.WriteLine("No. of balanced binary trees of height "+h+" is: "+countBT(h)); } // This code is contributed by Ryuga }
PHP <?php // PHP program to count // number of balanced $mod =1000000007; function countBT($h) { global $mod; // base cases $dp[0] = $dp[1] = 1; for($i = 2; $i <= $h; $i++) { $dp[$i] = ($dp[$i - 1] * ((2 * $dp [$i - 2]) % $mod + $dp[$i - 1]) % $mod) % $mod; } return $dp[$h]; } // Driver Code $h = 3; echo "No. of balanced binary trees", " of height h is: ", countBT($h) ,"\n"; // This code is contributed by aj_36 ?>
JavaScript <script> // Javascript program to count number of balanced binary trees of height h. let MOD = 1000000007; function countBT(h) { let dp = new Array(h + 1); dp.fill(0); // base cases dp[0] = 1; dp[1] = 1; for(let i = 2; i <= h; ++i) dp[i] = (dp[i - 1] * ((2 * dp [i - 2])% MOD + dp[i - 1]) % MOD) % MOD; return dp[h]; } let h = 3; document.write("No. of balanced binary trees of height h is: "+countBT(h)); </script>
OutputNo. of balanced binary trees of height h is: 15
Time Complexity: O(n)
Auxiliary Space: O(n), since n extra space has been taken.
Memory efficient Dynamic Programming approach :
If we observe carefully, in the previous approach to calculate dp[i] we are using dp[i-1] and dp[i-2] only and dp[0] to dp[i-3] are no longer required. Hence we can replace dp[i],dp[i-1] and dp[i-2] with dp2, dp1 and dp0 respectively. ( contributed by Kadapalla Nithin Kumar)
Implementation:
C++ // C++ program to count number of balanced // binary trees of height h. #include <bits/stdc++.h> using namespace std; long long int countBT(int h) { if(h<2){ return 1; } const int BIG_PRIME = 1000000007; long long int dp0 = 1, dp1 = 1,dp2; for(int i = 2; i <= h; i++) { dp2 = (dp1 * ((2 * dp0)%BIG_PRIME + dp1)%BIG_PRIME) % BIG_PRIME; // update dp1 and dp0 dp0 = dp1; dp1 = dp2; // Don't commit following simple mistake // dp1 = dp0; // dp0 = dp1; } return dp2; } // Driver program int main() { int h = 3; cout << "No. of balanced binary trees" " of height h is: " << countBT(h) << endl; } // This code is contributed by Kadapalla Nithin Kumar
Java // Java program to count number of balanced // binary trees of height h. import java.io.*; class GFG { static final int BIG_PRIME = 1000000007; static long countBT(int h){ if(h<2){ return 1; } long dp0 = 1, dp1 = 1,dp2 = 3; for(int i = 2; i <= h; i++) { dp2 = (dp1 * ((2 * dp0)%BIG_PRIME + dp1)%BIG_PRIME) % BIG_PRIME; // update dp1 and dp0 dp0 = dp1; dp1 = dp2; // Don't commit following simple mistake // dp1 = dp0; // dp0 = dp1; } return dp2; } // Driver program public static void main (String[] args) { int h = 3; System.out.println("No. of balanced binary trees of height "+h+" is: "+countBT(h)); } } /* This code is contributed by Brij Raj Kishore and modified by Kadapalla Nithin Kumar */
Python3 # Python3 program to count number of balanced # binary trees of height h. def countBT(h) : BIG_PRIME = 1000000007 if h < 2: return 1 dp0 = dp1 = 1 dp2 = 3 for _ in range(2,h+1): dp2 = (dp1*dp1 + 2*dp1*dp0)%BIG_PRIME dp0 = dp1 dp1 = dp2 return dp2 #Driver program h = 3 print("No. of balanced binary trees of height "+str(h)+" is: "+str(countBT(h))) #This code is contributed by Kadapalla Nithin Kumar
C# // C# program to count number of balanced // binary trees of height h. using System; class GFG { static int BIG_PRIME = 1000000007; public static long countBT(int h) { // base case if(h<2){ return 1; } long dp0 = 1; long dp1 = 1; long dp2 = 3; for(int i = 2; i <= h; ++i){ dp2 = (dp1 * ((2 * dp0)% BIG_PRIME + dp1) % BIG_PRIME) % BIG_PRIME; dp0 = dp1; dp1 = dp2; } return dp2; } // Driver program static void Main () { int h = 3; Console.WriteLine("No. of balanced binary trees of height "+h+" is: "+countBT(h)); } // This code is contributed by Ryuga and modified by Kadapalla Nithin Kumar }
PHP <?php // PHP program to count // number of balanced $BIG_PRIME =1000000007; function countBT($h) { global $BIG_PRIME; // base cases if($h < 2){ return 1; } $dp0 = $dp1 = 1; $dp2 = 3; for($i = 2; $i <= $h; $i++) { $dp2 = ($dp1 * ((2 * $dp0) % $BIG_PRIME + $dp1) % $BIG_PRIME) % $BIG_PRIME; $dp0 = $dp1; $dp1 = $dp2; } return $dp2; } // Driver Code $h = 3; echo "No. of balanced binary trees", " of height h is: ", countBT($h) ,"\n"; // This code is contributed by aj_36 and modified by Kadapalla Nithin Kumar ?>
JavaScript <script> // Javascript program to count number of balanced binary trees of height h. let BIG_PRIME = 1000000007; function countBT(h) { if(h<2){ return 1; } // base cases let dp0 = 1; let dp1 = 1; let dp2 = 3; for(let i = 2; i <= h; ++i){ dp2 = (dp1 * ((2 * dp0)% MOD + dp1) % MOD) % MOD; dp0 = dp1; dp1 = dp2; } return dp2; } let h = 3; document.write("No. of balanced binary trees of height h is: "+countBT(h)); // This code is contributed by Kadapalla Nithin Kumar </script>
OutputNo. of balanced binary trees of height h is: 15
Time Complexity: O(n)
Auxiliary Space: O(1)
other Geek.
Similar Reads
Introduction to Tree Data Structure
Tree data structure is a hierarchical structure that is used to represent and organize data in the form of parent child relationship. The following are some real world situations which are naturally a tree. Folder structure in an operating system.Tag structure in an HTML (root tag the as html tag) o
15+ min read
Tree Traversal Techniques
Tree Traversal techniques include various ways to visit all the nodes of the tree. Unlike linear data structures (Array, Linked List, Queues, Stacks, etc) which have only one logical way to traverse them, trees can be traversed in different ways. In this article, we will discuss all the tree travers
7 min read
Applications of tree data structure
A tree is a type of data structure that represents a hierarchical relationship between data elements, called nodes. The top node in the tree is called the root, and the elements below the root are called child nodes. Each child node may have one or more child nodes of its own, forming a branching st
4 min read
Advantages and Disadvantages of Tree
Tree is a non-linear data structure. It consists of nodes and edges. A tree represents data in a hierarchical organization. It is a special type of connected graph without any cycle or circuit. Advantages of Tree:Efficient searching: Trees are particularly efficient for searching and retrieving data
2 min read
Difference between an array and a tree
Array:An array is a collection of homogeneous(same type) data items stored in contiguous memory locations. For example, if an array is of type âintâ, it can only store integer elements and cannot allow the elements of other types such as double, float, char, etc. The array is a linear data structure
3 min read
Inorder Tree Traversal without Recursion
Given a binary tree, the task is to perform in-order traversal of the tree without using recursion. Example: Input: Output: 4 2 5 1 3Explanation: Inorder traversal (Left->Root->Right) of the tree is 4 2 5 1 3 Input: Output: 1 7 10 8 6 10 5 6Explanation: Inorder traversal (Left->Root->Rig
8 min read
Types of Trees in Data Structures
A tree in data structures is a hierarchical data structure that consists of nodes connected by edges. It is used to represent relationships between elements, where each node holds data and is connected to other nodes in a parent-child relationship. Types of Trees The main types of trees in data stru
4 min read
Generic Trees (N-ary Tree)
Introduction to Generic Trees (N-ary Trees)
Generic trees are a collection of nodes where each node is a data structure that consists of records and a list of references to its children(duplicate references are not allowed). Unlike the linked list, each node stores the address of multiple nodes. Every node stores address of its children and t
5 min read
Inorder traversal of an N-ary Tree
Given an N-ary tree containing, the task is to print the inorder traversal of the tree. Examples:Â Input: N = 3Â Â Output: 5 6 2 7 3 1 4Input: N = 3Â Â Output: 2 3 5 1 4 6Â Approach: The inorder traversal of an N-ary tree is defined as visiting all the children except the last then the root and finall
6 min read
Preorder Traversal of an N-ary Tree
Given an N-ary Tree. The task is to write a program to perform the preorder traversal of the given n-ary tree. Examples: Input: 3-Array Tree 1 / | \ / | \ 2 3 4 / \ / | \ 5 6 7 8 9 / / | \ 10 11 12 13 Output: 1 2 5 10 6 11 12 13 3 4 7 8 9 Input: 3-Array Tree 1 / | \ / | \ 2 3 4 / \ / | \ 5 6 7 8 9 O
14 min read
Iterative Postorder Traversal of N-ary Tree
Given an N-ary tree, the task is to find the post-order traversal of the given tree iteratively.Examples: Input: 1 / | \ 3 2 4 / \ 5 6 Output: [5, 6, 3, 2, 4, 1] Input: 1 / \ 2 3 Output: [2, 3, 1] Approach:We have already discussed iterative post-order traversal of binary tree using one stack. We wi
10 min read
Level Order Traversal of N-ary Tree
Given an N-ary Tree. The task is to print the level order traversal of the tree where each level will be in a new line. Examples: Input: Output: 13 2 45 6Explanation: At level 1: only 1 is present.At level 2: 3, 2, 4 is presentAt level 3: 5, 6 is present Input: Output: 12 3 4 56 7 8 9 1011 12 1314Ex
11 min read
ZigZag Level Order Traversal of an N-ary Tree
Given a Generic Tree consisting of n nodes, the task is to find the ZigZag Level Order Traversal of the given tree.Note: A generic tree is a tree where each node can have zero or more children nodes. Unlike a binary tree, which has at most two children per node (left and right), a generic tree allow
8 min read
Binary Tree
Introduction to Binary Tree
Binary Tree is a non-linear and hierarchical data structure where each node has at most two children referred to as the left child and the right child. The topmost node in a binary tree is called the root, and the bottom-most nodes are called leaves. Representation of Binary TreeEach node in a Binar
15+ min read
Properties of Binary Tree
This post explores the fundamental properties of a binary tree, covering its structure, characteristics, and key relationships between nodes, edges, height, and levels Note: Height of root node is considered as 0. Properties of Binary Trees1. Maximum Nodes at Level 'l'A binary tree can have at most
4 min read
Applications, Advantages and Disadvantages of Binary Tree
A binary tree is a tree that has at most two children for any of its nodes. There are several types of binary trees. To learn more about them please refer to the article on "Types of binary tree" Applications:General ApplicationsDOM in HTML: Binary trees help manage the hierarchical structure of web
2 min read
Binary Tree (Array implementation)
Given an array that represents a tree in such a way that array indexes are values in tree nodes and array values give the parent node of that particular index (or node). The value of the root node index would always be -1 as there is no parent for root. Construct the standard linked representation o
6 min read
Complete Binary Tree
We know a tree is a non-linear data structure. It has no limitation on the number of children. A binary tree has a limitation as any node of the tree has at most two children: a left and a right child. What is a Complete Binary Tree?A complete binary tree is a special type of binary tree where all t
7 min read
Perfect Binary Tree
What is a Perfect Binary Tree? A perfect binary tree is a special type of binary tree in which all the leaf nodes are at the same depth, and all non-leaf nodes have two children. In simple terms, this means that all leaf nodes are at the maximum depth of the tree, and the tree is completely filled w
4 min read