HomeLeetcode199. Binary Tree Right Side View - Leetcode Solutions

199. Binary Tree Right Side View – Leetcode Solutions

Description

Given the root of a binary tree, imagine yourself standing on the right side of it, return the values of the nodes you can see ordered from top to bottom.

Examples:

Example 1:

Input: root = [1,2,3,null,5,null,4]
Output: [1,3,4]
Example 2:

Input: root = [1,null,3]
Output: [1,3]
Example 3:

Input: root = []
Output: []

Solution in Python

To solve the problem of returning the right side view of a binary tree, we can perform a level-order traversal (similar to a breadth-first search) but only keep track of the last node at each level, which is the node visible from the right side.

Steps

  1. Check for an Empty Tree: If the tree is empty (i.e., the root is None), return an empty list.
  2. Use a Queue for Level-Order Traversal: Utilize a queue to perform the level-order traversal. This will help us process nodes level by level.
  3. Track the Rightmost Node: For each level, track the last node we encounter, as it is the node visible from the right side.
  4. Store the Rightmost Nodes: Store the values of these rightmost nodes in a list.
  5. Return the List: Once all levels are processed, return the list of rightmost nodes.
Python
from typing import List, Optional

# Definition for a binary tree node.
class TreeNode:
    def __init__(self, val=0, left=None, right=None):
        self.val = val
        self.left = left
        self.right = right

class Solution:
    def rightSideView(self, root: Optional[TreeNode]) -> List[int]:
        # If the tree is empty, return an empty list
        if not root:
            return []

        # List to store the right side view
        right_view = []

        # Queue for level-order traversal
        queue = [root]

        # Perform level-order traversal
        while queue:
            # Number of nodes at the current level
            level_length = len(queue)
            
            # Iterate over all nodes at this level
            for i in range(level_length):
                # Get the current node
                node = queue.pop(0)
                
                # If this is the last node in the level, add its value to the right_view list
                if i == level_length - 1:
                    right_view.append(node.val)
                
                # Add left and right children to the queue if they exist
                if node.left:
                    queue.append(node.left)
                if node.right:
                    queue.append(node.right)
        
        # Return the collected right side view
        return right_view

Explanation

  1. Initialization:
    • The function begins by checking if the root is None. If it is, it returns an empty list because there is no tree to view from the right side.
  2. Queue Setup:
    • The queue is initialized with the root node. This queue will help us traverse the tree level by level.
  3. Level-Order Traversal:
    • We enter a while loop that continues until the queue is empty.
    • For each level, we calculate the number of nodes (level_length) in that level, which allows us to determine which node is the last in the level.
  4. Processing Nodes:
    • We then loop through each node in the current level. The last node processed in this loop (i.e., when i == level_length - 1) is the rightmost node at that level and is added to the right_view list.
  5. Children Nodes:
    • For each node, if it has left or right children, they are added to the queue to be processed in the next level.
  6. Return the Result:
    • After the loop completes, right_view contains the values of the nodes visible from the right side, ordered from top to bottom, and is returned as the result.

Solution in Javascript

JavaScript
/**
 * @param {TreeNode} root
 * @return {number[]}
 */
var rightSideView = function(root) {
    // If the tree is empty, return an empty array
    if (root === null) {
        return [];
    }

    // Array to store the right side view
    const rightView = [];

    // Queue for level-order traversal
    const queue = [root];

    // Perform level-order traversal
    while (queue.length > 0) {
        // Number of nodes at the current level
        const levelLength = queue.length;
        
        // Iterate over all nodes at this level
        for (let i = 0; i < levelLength; i++) {
            // Get the current node from the front of the queue
            const node = queue.shift();
            
            // If this is the last node in the level, add its value to rightView
            if (i === levelLength - 1) {
                rightView.push(node.val);
            }
            
            // Add the left child to the queue if it exists
            if (node.left !== null) {
                queue.push(node.left);
            }
            
            // Add the right child to the queue if it exists
            if (node.right !== null) {
                queue.push(node.right);
            }
        }
    }
    
    // Return the collected right side view
    return rightView;
};

Solution in Java

Java
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import java.util.Queue;

class Solution {
    public List<Integer> rightSideView(TreeNode root) {
        // List to store the right side view
        List<Integer> rightView = new ArrayList<>();
        
        // If the tree is empty, return an empty list
        if (root == null) {
            return rightView;
        }

        // Queue for level-order traversal
        Queue<TreeNode> queue = new LinkedList<>();
        queue.add(root);

        // Perform level-order traversal
        while (!queue.isEmpty()) {
            // Number of nodes at the current level
            int levelSize = queue.size();
            
            // Iterate over all nodes at this level
            for (int i = 0; i < levelSize; i++) {
                // Get the current node from the front of the queue
                TreeNode currentNode = queue.poll();
                
                // If this is the last node in the level, add its value to rightView
                if (i == levelSize - 1) {
                    rightView.add(currentNode.val);
                }
                
                // Add the left child to the queue if it exists
                if (currentNode.left != null) {
                    queue.add(currentNode.left);
                }
                
                // Add the right child to the queue if it exists
                if (currentNode.right != null) {
                    queue.add(currentNode.right);
                }
            }
        }
        
        // Return the collected right side view
        return rightView;
    }
}

Solution in C#

C#
using System.Collections.Generic;

public class Solution {
    public IList<int> RightSideView(TreeNode root) {
        // List to store the right side view
        IList<int> rightView = new List<int>();
        
        // If the tree is empty, return an empty list
        if (root == null) {
            return rightView;
        }

        // Queue for level-order traversal
        Queue<TreeNode> queue = new Queue<TreeNode>();
        queue.Enqueue(root);

        // Perform level-order traversal
        while (queue.Count > 0) {
            // Number of nodes at the current level
            int levelSize = queue.Count;
            
            // Iterate over all nodes at this level
            for (int i = 0; i < levelSize; i++) {
                // Get the current node from the front of the queue
                TreeNode currentNode = queue.Dequeue();
                
                // If this is the last node in the level, add its value to rightView
                if (i == levelSize - 1) {
                    rightView.Add(currentNode.val);
                }
                
                // Add the left child to the queue if it exists
                if (currentNode.left != null) {
                    queue.Enqueue(currentNode.left);
                }
                
                // Add the right child to the queue if it exists
                if (currentNode.right != null) {
                    queue.Enqueue(currentNode.right);
                }
            }
        }
        
        // Return the collected right side view
        return rightView;
    }
}

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