LeetCode 515. Find Largest Value in Each Tree Row
原题链接在这里:https://leetcode.com/problems/find-largest-value-in-each-tree-row/description/
题目:
You need to find the largest value in each row of a binary tree.
Example:
Input: 1 / \ 3 2 / \ \ 5 3 9 Output: [1, 3, 9]
题解:
可以采用BFS, 类似Binary Tree Level Order Traversal. 每层算最大值加入res中.
Time Complexity: O(n).
Space: O(n).
AC Java:
1 /** 2 * Definition for a binary tree node. 3 * public class TreeNode { 4 * int val; 5 * TreeNode left; 6 * TreeNode right; 7 * TreeNode() {} 8 * TreeNode(int val) { this.val = val; } 9 * TreeNode(int val, TreeNode left, TreeNode right) { 10 * this.val = val; 11 * this.left = left; 12 * this.right = right; 13 * } 14 * } 15 */ 16 class Solution { 17 public List<Integer> largestValues(TreeNode root) { 18 List<Integer> res = new ArrayList<>(); 19 if(root == null){ 20 return res; 21 } 22 23 LinkedList<TreeNode> que = new LinkedList<>(); 24 que.add(root); 25 while(!que.isEmpty()){ 26 int size = que.size(); 27 int max = Integer.MIN_VALUE; 28 while(size-- > 0){ 29 TreeNode cur = que.poll(); 30 max = Math.max(max, cur.val); 31 if(cur.left != null){ 32 que.add(cur.left); 33 } 34 35 if(cur.right != null){ 36 que.add(cur.right); 37 } 38 } 39 40 res.add(max); 41 } 42 43 return res; 44 } 45 }
也可以DFS. 用depth来标记res中的index位置.
Time Complexity: O(n).
Space: O(logn). stack space.
AC Java:
1 /** 2 * Definition for a binary tree node. 3 * public class TreeNode { 4 * int val; 5 * TreeNode left; 6 * TreeNode right; 7 * TreeNode(int x) { val = x; } 8 * } 9 */ 10 class Solution { 11 public List<Integer> largestValues(TreeNode root) { 12 List<Integer> res = new ArrayList<Integer>(); 13 if(root == null){ 14 return res; 15 } 16 17 dfs(root, res, 0); 18 return res; 19 } 20 21 private void dfs(TreeNode root, List<Integer> res, int depth){ 22 if(root == null){ 23 return; 24 } 25 26 if(depth == res.size()){ 27 // 之前没有的碰到的深度. 28 res.add(root.val); 29 }else{ 30 // 之前有平级的深度. 31 res.set(depth, Math.max(res.get(depth), root.val)); 32 } 33 34 dfs(root.left, res, depth+1); 35 dfs(root.right, res, depth+1); 36 } 37 }