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.
# 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 = rightclass Solution: def rightSideView(self, root: TreeNode | None) -> list[int]: if root == None: return [] result = [] q = deque([root]) while q: size = len(q) for i in range(size): node = q.popleft() if i == size - 1: result.append(node.val) if node.left: q.append(node.left) if node.right: q.append(node.right) return result
/** * Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode() {} * TreeNode(int val) { this.val = val; } * TreeNode(int val, TreeNode left, TreeNode right) { * this.val = val; * this.left = left; * this.right = right; * } * } */class Solution { public List<Integer> rightSideView(TreeNode root) { List<Integer> result = new ArrayList<>(); Queue<TreeNode> q = new LinkedList<>(); if (root == null) { return result; } q.offer(root); while (!q.isEmpty()) { int size = q.size(); for (int i = 0; i < size; i++) { TreeNode node = q.poll(); if (i == (size - 1)) { result.add(node.val); } if (node.left != null) { q.offer(node.left); } if (node.right != null) { q.offer(node.right); } } } return result; }}
Tracking an example in iterative approch
1 / \ 2 3 \ \ 5 4
rightSideViewBFS(1)root is not nullres = []q = [1]while q is true: size = len(q) = 1 for i in range(size): i = 0 node = q.popleft() => node = 1 if = i == size -1 => 0 == 1 - 1 = 0 is true: res.append(node.val) => res = [1] if node.left is true: q.append(node.left) => q = [2] if node.right is true: q.append(node.right) => q = [2, 3]whle q is true: size = len(q) = 2 for i in range(size): i = 0 node = q.popleft() => 2 if i == size -1 => 0 == 2 - 1 = 0 is false if node.left is false: if node.right is true: q.append(node.right) => [3, 5] i = 1 node = q.popleft() => 3 if i == size -1 => 1 == 2 -1 is true: res.append(node.val) => res = [1, 3] if node.left is false if node.right is true: q.append(node.right) => [5, 4]while q is true: size = len(q) = 2 for i in range(size): i = 0 node = q.popleft() => 5 if i == size -1 => 0 == 2 - 1 is false if node.left is false if node.right is false i = 1 node = q.popleft() => 4 if i == size -1 => 1 == 2 -1 is true result.append(node.val) => [1, 3, 4] if node.left is false if node.right is falsewhile q is empty so falsereturn result => [1, 3, 4]
Recursive DFS approach in Python & java
# 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 = rightclass Solution: def rightSideView(self, root: TreeNode | None) -> list[int]: res = [] def dfs(node, depth): if node is None: return [] if depth == len(res): res.append(node.val) dfs(node.right, depth + 1) dfs(node.left, depth + 1) dfs(root, 0) return res
/** * Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode() {} * TreeNode(int val) { this.val = val; } * TreeNode(int val, TreeNode left, TreeNode right) { * this.val = val; * this.left = left; * this.right = right; * } * } */class Solution { List<Integer> res = new ArrayList<>(); public List<Integer> rightSideView(TreeNode root) { if (root == null) { return res; } dfs(root, 0); return res; } private void dfs(TreeNode node, int depth) { if (node == null) { return; } if (depth == res.size()) { res.add(node.val); } dfs(node.right, depth + 1); dfs(node.left, depth + 1); }}