Leetcode: Largest BST Subtree
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Given a binary tree, find the largest subtree which is a Binary Search Tree (BST), where largest means subtree with largest number of nodes in it. Note: A subtree must include all of its descendants. Here‘s an example: 10 / 5 15 / \ \ 1 8 7 The Largest BST Subtree in this case is the highlighted one. The return value is the subtree‘s size, which is 3. Hint: You can recursively use algorithm similar to 98. Validate Binary Search Tree at each node of the tree, which will result in O(nlogn) time complexity. Follow up: Can you figure out ways to solve it with O(n) time complexity?
refer to https://discuss.leetcode.com/topic/36995/share-my-o-n-java-code-with-brief-explanation-and-comments/2
这道题不好从root到leaf一层一层限制subtree取值范围,因为有可能parent并不能构成BST,反倒是需要如果subtree是BST的话,限制parent的取值范围,然后根据情况判断是:
1. 吸纳parent以及parent的另一个subtree进来形成一个更大的BST,向上传递这个新subtree的size
2. parent向上传递自它以下发现的最大BST
所以我们需要传递subtree size, subtree (min, max)范围,所以我们想到用一个wrapper class包括这三项东西。
同时因为要能分辨上面1、2两种情况,所以size为正表示1,size为负表示2
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 public class Solution { 11 public class Result { 12 int res; 13 int min; 14 int max; 15 public Result(int num, int n1, int n2) { 16 this.res = num; 17 this.min = n1; 18 this.max = n2; 19 } 20 } 21 22 public int largestBSTSubtree(TreeNode root) { 23 Result res = findLargestBST(root); 24 return Math.abs(res.res); 25 } 26 27 public Result findLargestBST(TreeNode cur) { 28 if (cur == null) return new Result(0, Integer.MAX_VALUE, Integer.MIN_VALUE); 29 Result left = findLargestBST(cur.left); 30 Result right = findLargestBST(cur.right); 31 if (left.res<0 || right.res<0 || cur.val<left.max || cur.val>right.min) { 32 return new Result(Math.max(Math.abs(left.res), Math.abs(right.res))*(-1), 0, 0); 33 } 34 else return new Result(left.res+right.res+1, Math.min(left.min, cur.val), Math.max(right.max, cur.val)); 35 } 36 }
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