Iterative Post-Order Traversal of Binary Tree in C++

Due to the recursive nature of the problem, it is easy and efficient to implement the post order traversal using recursion. But we can also implement it using loops.

Algorithm for Iterative Post-Order Binary Tree Traversal in C++

The iterative approach uses a stack to simulate the recursive behavior.

  • Push the root node to the stack.
  • Initialize a temporary pointer to track the previously visited node.
  • Loop until the stack is empty:
    • Peek at the top node on the stack.
    • If the top node has no children or the previously visited node is its right child, visit the top node and pop it off the stack.
  • Otherwise:
    • If the top node has a right child and it hasn’t been visited yet, push the right child onto the stack.
    • If the top node has a left child and it hasn’t been visited yet, push the left child onto the stack.
    • After the loop completes, all nodes will have been visited in post-order.

Postorder Traversal of Binary Tree in C++

Post-order binary tree traversal is a type of depth-first traversal that follows the order of visiting the left subtree, then the right subtree, and finally the node itself. It is useful for operations where you need to work with a node only after you’ve dealt with its children, such as when calculating the size of the tree or deleting the tree.

In this article, we will learn about post-order binary tree traversal in C++, how to implement it in C++ using both recursion and iteration methods and analyze the time and space complexity of both methods.

Similar Reads

Post Order Traversal in C++

Consider the following binary search tree for the demonstration:...

C++ Program to Implement Postorder Traversal of the Binary Tree

C++ // C++ Program to illustrate how to implement the postorder // traversal of a binary tree #include using namespace std; // node of the tree struct TreeNode { int val; TreeNode *left, *right; TreeNode(int x) { this->val = x; this->left = NULL; this->right = NULL; } }; // function for post order traversal of the given tree void postOrderTraversal(TreeNode* node) { // if the current node is null if (node == NULL) return; // Traverse the left first postOrderTraversal(node->left); // then traverse right postOrderTraversal(node->right); // finally visit the node cout << node->val << " "; } int main() { // Creating the tree // 8 // / \ // 3 10 // / \ \ // 1 6 14 TreeNode* root = new TreeNode(8); root->left = new TreeNode(3); root->right = new TreeNode(10); root->left->left = new TreeNode(1); root->left->right = new TreeNode(6); root->right->right = new TreeNode(14); // Perform post-order traversal cout << "Post-order traversal output: "; postOrderTraversal(root); cout << endl; return 0; }...

Complexity Analysis of Binary Tree Postorder Traversal

The complexity analysis of post order traversal is pretty simple....

Iterative Post-Order Traversal of Binary Tree in C++

Due to the recursive nature of the problem, it is easy and efficient to implement the post order traversal using recursion. But we can also implement it using loops....

C++ Program for Iterative Postorder Traversal of the Binary Tree

C++ // C++ Program to illustrate how to implement iterative post // order traversal of binary tree #include #include using namespace std; // tree node struct TreeNode { int val; TreeNode *left, *right; TreeNode(int x) : val(x), left(NULL), right(NULL) {} }; // iterative post order traversal void postOrderTraversal(TreeNode* root) { // if the tree is empty if (root == NULL) return; // temporary stack to mimic the behaviour of the call // stack stack stack; // pointer to previously visited node TreeNode* prev = NULL; // starting by pushing root stack.push(root); while (!stack.empty()) { TreeNode* curr = stack.top(); // If the current node has no children or its // children have been visited if (curr->left == NULL && curr->right == NULL || prev == curr->right || (prev == curr->left && curr->right == NULL)) { cout << curr->val << " "; stack.pop(); prev = curr; } else { if (curr->right != NULL) stack.push(curr->right); if (curr->left != NULL) stack.push(curr->left); } } } int main() { // Create nodes TreeNode* root = new TreeNode(8); root->left = new TreeNode(3); root->right = new TreeNode(10); root->left->left = new TreeNode(1); root->left->right = new TreeNode(6); root->right->right = new TreeNode(14); // Perform post-order traversal cout << "Post-order traversal output: "; postOrderTraversal(root); cout << endl; return 0; }...