Given a binary tree, the task is to flatten it in order of its post-order traversal. In the flattened binary tree, the left node of all the nodes must be NULL.
Input: 5 / \ 3 7 / \ / \ 2 4 6 8 Output: 2 4 3 6 8 7 5 Input: 1 \ 2 \ 3 \ 4 \ 5 Output: 5 4 3 2 1
A simple approach will be to recreate the Binary Tree from its post-order traversal. This will take O(N) extra space were N is the number of nodes in BST.
A better solution is to simulate post-order traversal of the given binary tree.
- Create a dummy node.
- Create variable called ‘prev’ and make it point to the dummy node.
- Perform post-order traversal and at each step.
- Set prev -> right = curr
- Set prev -> left = NULL
- Set prev = curr
This will improve the space complexity to O(H) in the worst case as post-order traversal takes O(H) extra space.
Below is the implementation of the above approach:
2 4 3 6 8 7 5
- Flatten Binary Tree in order of Level Order Traversal
- Flatten Binary Tree in order of Zig Zag traversal
- Postorder traversal of Binary Tree without recursion and without stack
- Find n-th node in Postorder traversal of a Binary Tree
- Print a Binary Tree in Vertical Order | Set 3 (Using Level Order Traversal)
- Given level order traversal of a Binary Tree, check if the Tree is a Min-Heap
- Density of Binary Tree using Level Order Traversal
- Find the kth node in vertical order traversal of a Binary Tree
- Perfect Binary Tree Specific Level Order Traversal
- Perfect Binary Tree Specific Level Order Traversal | Set 2
- Calculate height of Binary Tree using Inorder and Level Order Traversal
- Check if the level order traversal of a Binary Tree results in a palindrome
- Create a binary tree from post order traversal and leaf node array
- Check if the given array can represent Level Order Traversal of Binary Search Tree
- Iterative Postorder Traversal of N-ary Tree
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