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package leetcode_1To300;
/**
* 本代码来自 Cspiration,由 @Cspiration 提供
* 题目来源:http://leetcode.com
* - Cspiration 致力于在 CS 领域内帮助中国人找到工作,让更多海外国人受益
* - 现有课程:Leetcode Java 版本视频讲解(1-900题)(上)(中)(下)三部
* - 算法基础知识(上)(下)两部;题型技巧讲解(上)(下)两部
* - 节省刷题时间,效率提高2-3倍,初学者轻松一天10题,入门者轻松一天20题
* - 讲师:Edward Shi
* - 官方网站:https://cspiration.com
* - 版权所有,转发请注明出处
*/
public class _333_LargestBSTSubtree {
/**
* 333. Largest BST Subtree
* 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
/
null
The Largest BST Subtree in this case is the highlighted one.
The return value is the subtree's size, which is 3.
1, postorder
2, BST
3, decide BST
1 : 1,1,1
8 : 1,8,8
5 : 3,1,8
7 : 1,7,7
15 : -1,0,0
time : O(n)
space : O(n)
*/
int res = 0;
public int largestBSTSubtree(TreeNode root) {
if (root == null) return 0;
helper(root);
return res;
}
private SearchNode helper(TreeNode root) {
if (root == null) {
return new SearchNode(0, Integer.MAX_VALUE, Integer.MIN_VALUE);
}
SearchNode left = helper(root.left);
SearchNode right = helper(root.right);
if (left.size == -1 || right.size == -1 || root.val <= left.upper || root.val >= right.lower) {
return new SearchNode(-1, 0, 0);
}
int size = left.size + right.size + 1;
res = Math.max(size, res);
return new SearchNode(size, Math.min(left.lower, root.val), Math.max(right.upper, root.val));
}
class SearchNode {
int size;
int lower;
int upper;
SearchNode(int size, int lower, int upper) {
this.size = size;
this.lower = lower;
this.upper = upper;
}
}
}