Binary Tree Right Side View
Given the root of a binary tree, imagine standing on the right side and looking left. Return the values of the nodes you can see from top to bottom (the rightmost node at each level).
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Problem
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.
Input
The root of a binary tree.
Output
An array of visible node values from right to left.
Examples
Input: root = [1,2,3,null,5,null,4]
Output: [1,3,4]
Level 0: 1, Level 1: rightmost is 3, Level 2: rightmost is 4.
Input: root = [1,null,3]
Output: [1,3]
The brute-force approach
BFS level by level. At each level, collect all nodes and take the last one (rightmost).
result = []
queue = [root]
while queue:
level_size = len(queue)
for i in range(level_size):
node = queue.pop(0)
if i == level_size - 1:
result.append(node.val)
if node.left: queue.append(node.left)
if node.right: queue.append(node.right)
return resultO(n) — this is already optimal. BFS level-order is the natural approach.
Spotting the pattern
This is a Tree Traversal problem. The key question to ask yourself:
After processing all nodes at a level, which one is the "rightmost"? How do you identify it during BFS?
Answering that is where it clicks, and it's exactly what the guided walkthrough below builds with you: the pattern reasoning, a progressive hint ladder that never spoils the answer, a row-by-row dry run, the optimized solution, and an in-browser editor to run your code against real test cases.
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