Tree Traversal Postorder Left Right Root in DSA C++ - Time & Space Complexity

Time Complexity: Tree Traversal Postorder Left Right Root

O(n)

Understanding Time Complexity

We want to understand how the time needed to visit all nodes in a tree grows as the tree gets bigger.

Specifically, we look at postorder traversal, which visits left child, then right child, then the node itself.

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

void postorderTraversal(Node* root) {
    if (root == nullptr) return;
    postorderTraversal(root->left);
    postorderTraversal(root->right);
    std::cout << root->value << " ";
}
    

This code visits every node in the tree in postorder: left subtree, right subtree, then the node itself.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Recursive calls visiting each node once.
• How many times: Once per node in the tree.

How Execution Grows With Input

Each node is visited exactly once, so the work grows directly with the number of nodes.

Input Size (n)	Approx. Operations
10	About 10 visits
100	About 100 visits
1000	About 1000 visits

Pattern observation: The time grows linearly as the tree size increases.

Final Time Complexity

Time Complexity: O(n)

This means the time to complete the traversal grows directly in proportion to the number of nodes.

Common Mistake

[X] Wrong: "Postorder traversal takes more time because it visits nodes multiple times."

[OK] Correct: Each node is visited exactly once, even though the order is left, right, then root. No node is repeated.

Interview Connect

Understanding traversal time helps you explain how tree algorithms scale and shows you can reason about recursion and data structures clearly.

Self-Check

"What if we changed the traversal to preorder (root, left, right)? How would the time complexity change?"

Practice

1. What is the order of nodes visited in a postorder traversal of a binary tree?

easy

A. Left subtree, Right subtree, Root node

B. Root node, Left subtree, Right subtree

C. Root node, Right subtree, Left subtree

D. Right subtree, Left subtree, Root node

Solution

1. Step 1: Understand postorder traversal definition

   Postorder traversal visits nodes in the order: left subtree first, then right subtree, and finally the root node.

2. Step 2: Match the traversal order to options

   Left subtree, Right subtree, Root node correctly lists the order as Left, Right, Root which matches postorder traversal.

3. Final Answer:

   Left subtree, Right subtree, Root node -> Option A

4. Quick Check:

   Postorder = Left, Right, Root [OK]

Hint: Remember: postorder ends with root after children [OK]

Common Mistakes:

• Confusing postorder with preorder or inorder
• Swapping left and right subtree order
• Thinking root is visited first

2. Which of the following C++ function signatures correctly represents a postorder traversal of a binary tree node Node*?

easy

A. void postorder(Node* root) { visit(root); postorder(root->left); postorder(root->right); }

B. void postorder(Node* root) { postorder(root->right); postorder(root->left); visit(root); }

C. void postorder(Node* root) { postorder(root->right); visit(root); postorder(root->left); }

D. void postorder(Node* root) { postorder(root->left); postorder(root->right); visit(root); }

Solution

1. Step 1: Recall postorder traversal steps

   Postorder visits left subtree, then right subtree, then root node.

2. Step 2: Check function calls order

   void postorder(Node* root) { postorder(root->left); postorder(root->right); visit(root); } calls postorder on left, then right, then visits root, matching postorder traversal.

3. Final Answer:

   void postorder(Node* root) { postorder(root->left); postorder(root->right); visit(root); } -> Option D

4. Quick Check:

   Left, Right, Root call order = void postorder(Node* root) { postorder(root->left); postorder(root->right); visit(root); } [OK]

Hint: Postorder calls left, then right, then root visit [OK]

Common Mistakes:

• Visiting root before children (preorder)
• Swapping left and right subtree calls
• Missing visit call after recursion

3. Given the binary tree:

    1
   / \
  2   3
 / \
4   5

What is the output of a postorder traversal?

medium

A. [1, 2, 3, 4, 5]

B. [4, 2, 5, 3, 1]

C. [4, 5, 2, 3, 1]

D. [2, 4, 5, 3, 1]

Solution

1. Step 1: Traverse left subtree of root (1)

   Left subtree rooted at 2: postorder visits 4, then 5, then 2.

2. Step 2: Traverse right subtree and root

   Right subtree is 3 alone, visited next. Finally, root 1 is visited.

3. Final Answer:

   [4, 5, 2, 3, 1] -> Option C

4. Quick Check:

   Postorder = Left, Right, Root = [4,5,2,3,1] [OK]

Hint: Visit children fully before root [OK]

Common Mistakes:

• Listing root before children
• Mixing left and right subtree order
• Confusing with preorder or inorder output

4. The following C++ code attempts postorder traversal but produces incorrect output. What is the error?

void postorder(Node* root) {
  if (!root) return;
  postorder(root->right);
  postorder(root->left);
  visit(root);
}

medium

A. Left and right subtree calls are swapped

B. The base case check is incorrect

C. The visit call is missing

D. The function should visit root before children

Solution

1. Step 1: Analyze recursive calls order

   The code calls postorder on right subtree first, then left subtree, which reverses the correct order.

2. Step 2: Understand correct postorder order

   Postorder requires left subtree first, then right subtree, then root visit.

3. Final Answer:

   Left and right subtree calls are swapped -> Option A

4. Quick Check:

   Left before right in postorder [OK]

Hint: Left subtree call must come before right [OK]

Common Mistakes:

• Swapping left and right subtree calls
• Visiting root before children
• Omitting base case check

5. You want to collect all node values of a binary tree in postorder traversal into a vector. Which code snippet correctly implements this in C++?

hard

A. void postorder(Node* root, vector<int>& res) { if (!root) return; res.push_back(root->val); postorder(root->left, res); postorder(root->right, res); }

B. void postorder(Node* root, vector<int>& res) { if (!root) return; postorder(root->left, res); postorder(root->right, res); res.push_back(root->val); }

C. void postorder(Node* root, vector<int>& res) { if (!root) return; postorder(root->right, res); postorder(root->left, res); res.push_back(root->val); }

D. void postorder(Node* root, vector<int>& res) { if (!root) return; postorder(root->left, res); res.push_back(root->val); postorder(root->right, res); }

Solution

1. Step 1: Confirm traversal order in code

   void postorder(Node* root, vector<int>& res) { if (!root) return; postorder(root->left, res); postorder(root->right, res); res.push_back(root->val); } calls postorder on left, then right subtree, then adds root value to vector, matching postorder.

2. Step 2: Check other options for order mistakes

   The other options either add the root value too early or swap left and right calls, breaking postorder.

3. Final Answer:

   void postorder(Node* root, vector<int>& res) { if (!root) return; postorder(root->left, res); postorder(root->right, res); res.push_back(root->val); } -> Option B

4. Quick Check:

   Left, Right, Root push_back order = void postorder(Node* root, vector<int>& res) { if (!root) return; postorder(root->left, res); postorder(root->right, res); res.push_back(root->val); } [OK]

Hint: Push root value after left and right recursion [OK]

Common Mistakes:

• Pushing root value before children
• Swapping left and right subtree calls
• Forgetting to check for null root