Given an N-ary tree, print the number of leaf nodes in the subtree of every node.
Input: 1 / \ 2 3 / | \ 4 5 6 Output: The node 1 has 4 leaf nodes The node 2 has 1 leaf nodes The node 3 has 3 leaf nodes The node 4 has 1 leaf nodes The node 5 has 1 leaf nodes The node 6 has 1 leaf nodes
Approach: The idea is to perform DFS traversal on the given tree and for every node keep an array leaf to store the count of leaf nodes in the subtree below it.
Now, while recurring down the tree, if a leaf node is found set it’s leaf[i] value to 1 and return back in upward direction. Now, every time while returning back from the function call to upward, add the leaf nodes of the node below it.
Once, the DFS traversal is completed we will have the count of leaf nodes in the array leaf.
Below is the implementation of the above approach:
The node 1 has 4 leaf nodes The node 2 has 1 leaf nodes The node 3 has 3 leaf nodes The node 4 has 1 leaf nodes The node 5 has 1 leaf nodes The node 6 has 1 leaf nodes
- Convert a Binary Tree such that every node stores the sum of all nodes in its right subtree
- Change a Binary Tree so that every node stores sum of all nodes in left subtree
- Print the nodes of binary tree as they become the leaf node
- Implementing a BST where every node stores the maximum number of nodes in the path till any leaf
- Check if two nodes are in same subtree of the root node
- Subtree of all nodes in a tree using DFS
- Find the Kth node in the DFS traversal of a given subtree in a Tree
- Print all nodes that are at distance k from a leaf node
- Sum of nodes on the longest path from root to leaf node
- Delete the last leaf node in a Binary Tree
- Closest leaf to a given node in Binary Tree
- Print all leaf nodes of an n-ary tree using DFS
- Sum of all leaf nodes of binary tree
- Deepest left leaf node in a binary tree
- Determine the count of Leaf nodes in an N-ary tree
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.