Right Side View of Binary Tree in DSA C - Time & Space Complexity

Time Complexity: Right Side View of Binary Tree

O(n)

Understanding Time Complexity

We want to understand how the time needed to find the right side view of a binary tree changes as the tree grows.

Specifically, how does the number of steps grow when the tree has more nodes?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

// Simple level order traversal to get right side view
void rightSideView(TreeNode* root) {
    if (!root) return;
    Queue* q = createQueue();
    enqueue(q, root);
    while (!isEmpty(q)) {
        int size = queueSize(q);
        for (int i = 0; i < size; i++) {
            TreeNode* node = dequeue(q);
            if (i == size - 1) print(node->val); // rightmost node
            if (node->left) enqueue(q, node->left);
            if (node->right) enqueue(q, node->right);
        }
    }
}
    

This code visits each level of the tree and prints the rightmost node at that level.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Visiting each node once in the tree using a queue.
• How many times: Each node is visited exactly one time.

How Execution Grows With Input

As the number of nodes in the tree grows, the number of steps grows roughly the same amount.

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

Pattern observation: The work grows linearly with the number of nodes.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the right side view grows directly with the number of nodes in the tree.

Common Mistake

[X] Wrong: "Since we only print one node per level, the time is O(height) instead of O(n)."

[OK] Correct: We still visit every node to know which one is rightmost at each level, so all nodes are processed, making it O(n).

Interview Connect

Understanding this helps you explain how breadth-first search works and how to analyze tree traversals efficiently.

Self-Check

"What if we used a depth-first search instead of breadth-first search? How would the time complexity change?"

Practice

1. What does the "Right Side View" of a binary tree represent?

easy

A. All leaf nodes of the tree

B. Nodes visible when the tree is viewed from the left side

C. Nodes visible when the tree is viewed from the right side

D. Nodes at the deepest level only

Solution

1. Step 1: Understand the view perspective

   The right side view shows nodes visible when looking at the tree from the right side.

2. Step 2: Identify visible nodes

   Only the rightmost node at each level is visible from the right side.

3. Final Answer:

   Nodes visible when the tree is viewed from the right side -> Option C

4. Quick Check:

   Right side view = rightmost nodes [OK]

Hint: Right side view shows rightmost nodes at each level [OK]

Common Mistakes:

• Confusing right side view with left side view
• Thinking it shows all leaf nodes
• Assuming it shows only deepest nodes

2. Which of the following C code snippets correctly declares a binary tree node structure for use in right side view algorithms?

easy

A. typedef struct Node { int val; struct Node* left; struct Node* right; } Node;

B. struct Node { int val; Node* left; Node* right; }; typedef Node;

C. typedef struct { int val; struct Node* left; struct Node* right; } Node;

D. struct Node { int val; struct Node left; struct Node right; }; typedef struct Node Node;

Solution

1. Step 1: Check struct declaration syntax

   typedef struct Node { int val; struct Node* left; struct Node* right; } Node; correctly declares a struct with pointers to left and right child nodes.

2. Step 2: Verify typedef usage

   typedef struct Node { int val; struct Node* left; struct Node* right; } Node; uses typedef properly to alias struct Node as Node.

3. Final Answer:

   typedef struct Node { int val; struct Node* left; struct Node* right; } Node; -> Option A

4. Quick Check:

   Correct struct with pointers and typedef [OK]

Hint: Use struct with pointers and typedef for node [OK]

Common Mistakes:

• Missing struct keyword before pointer types
• Using struct members as values instead of pointers
• Incorrect typedef syntax

3. Given the following binary tree and code snippet, what is the output of the right side view function?

    1
   / \
  2   3
   \   \
    5   4

// Function call: rightSideView(root);

medium

A. [1, 2, 4]

B. [1, 2, 5]

C. [1, 3, 5]

D. [1, 3, 4]

Solution

1. Step 1: Identify rightmost nodes at each level

   Level 0: Node 1; Level 1: Node 3; Level 2: Node 4.

2. Step 2: Collect nodes in order

   The right side view list is [1, 3, 4].

3. Final Answer:

   [1, 3, 4] -> Option D

4. Quick Check:

   Rightmost nodes per level = [1, 3, 4] [OK]

Hint: Pick rightmost node at each tree level [OK]

Common Mistakes:

• Choosing left child nodes instead of rightmost
• Including nodes not visible from right side
• Confusing node values at levels

4. The following C function attempts to print the right side view of a binary tree but has a bug. What is the error?

void rightSideViewHelper(Node* root, int level, int* maxLevel) {
    if (!root) return;
    if (level > *maxLevel) {
        printf("%d ", root->val);
        *maxLevel = level;
    }
    rightSideViewHelper(root->left, level + 1, maxLevel);
    rightSideViewHelper(root->right, level + 1, maxLevel);
}

medium

A. The function visits left child before right, so right side nodes may be missed

B. The maxLevel pointer is not updated correctly

C. The base case does not check for null root

D. The printf statement is missing a newline character

Solution

1. Step 1: Analyze traversal order

   The function visits left child before right child, so rightmost nodes may be overshadowed by left nodes.

2. Step 2: Understand impact on right side view

   Right side view requires visiting right child first to capture rightmost nodes at each level.

3. Final Answer:

   The function visits left child before right, so right side nodes may be missed -> Option A

4. Quick Check:

   Visit right child first for correct right side view [OK]

Hint: Traverse right child before left child [OK]

Common Mistakes:

• Visiting left child before right child
• Not updating maxLevel properly
• Ignoring base case for null nodes

5. You want to modify a function that returns the right side view of a binary tree to also return the left side view in a single traversal. Which approach is best?

hard

A. Perform two separate traversals: one right-first for right view, one left-first for left view

B. Use a single traversal visiting both children and track first node at each level for left and last for right

C. Use a single traversal visiting right child first, store rightmost nodes, then visit left child for leftmost nodes

D. Traverse only left child and assume it covers both views

Solution

1. Step 1: Understand views require different nodes

   Right view needs rightmost nodes; left view needs leftmost nodes at each level.

2. Step 2: Use single traversal with tracking

   Track first node seen at each level for left view and last node for right view during one traversal.

3. Step 3: Avoid separate traversals for efficiency

   This approach reduces time by combining both views in one pass.

4. Final Answer:

   Use a single traversal visiting both children and track first node at each level for left and last for right -> Option B

5. Quick Check:

   Track first and last nodes per level in one traversal [OK]

Hint: Track first and last nodes per level in one traversal [OK]

Common Mistakes:

• Doing two full traversals unnecessarily
• Visiting only one child and missing nodes
• Not tracking nodes per level properly