Given 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.

Example:

Input: [1,2,3,null,5,null,4]
Output: [1, 3, 4]
Explanation: 1 <---
/ \
2 3 <---
\ \
5 4 <---

题意:

给定一个二叉树,

想象自己站在二叉树的右侧

返回所有能看到的node(返回的node的order是从上往下)

思路:

dfs,

使其访问顺序为: root --> right --> left

这样访问nodes为:10, 15, 20, 12, 5, 7, 9, 2

用一个level来维护每层关系,  便于把每层最右侧nodes取出来,放入result中

则:(10,0), (15,1), (20,2), (12,2), (5,1), (7,2), (9,3), (2,2)

每次一到达新的level,根据root --> right --> left的访问顺序,该新level最先被访问的node一定是最右侧view 需要输出的node。将其加入result中。

(10,0), (15,1), (20,2), (12,2), (5,1), (7,2), (9,3), (2,2)

result输出: 10, 15, 20, 9

代码:

 public class BinaryTreeRightSideView {
public List<Integer> rightSideView(TreeNode root) {
List<Integer> result = new ArrayList<>();
// corner case
if (root == null) return result;
dfs(root, result, 0);
return result;
} public void dfs(TreeNode root, List<Integer> result, int level) {
//recursion 的base case
if (root == null) {
return;
}
if (level == result.size()) {
result.add(root.val);
} dfs(root.right, result, level + 1);
dfs(root.left, result, level + 1); }
}

思路

BFS(iteration)

每次先将right side node 加入到queue里去

保证 当i = 0 的时候,poll出来的第一个item是right side node

代码

 1 public List<Integer> rightSideView(TreeNode root) {
2 // level order traversal
3 List<Integer> result = new ArrayList();
4 Queue<TreeNode> queue = new LinkedList();
5 // corner case
6 if (root == null) return result;
7
8 queue.offer(root);
9 while (!queue.isEmpty()) {
10 int size = queue.size();
11 for (int i = 0; i< size; i++) {
12 TreeNode cur = queue.poll();
13 // make sure only add right side node
14 if (i == 0) result.add(cur.val);
15 // add right side node first, making sure poll out first
16 if (cur.right != null) queue.offer(cur.right);
17 if (cur.left != null) queue.offer(cur.left);
18 }
19 }
20 return result;
21 }


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