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?
这道题让我们求一棵二分树的最大二分搜索子树,所谓二分搜索树就是满足左<根<右的二分树,我们需要返回这个二分搜索子树的节点个数。题目中给的提示说我们可以用之前那道Validate Binary Search Tree的方法来做,时间复杂度为O(nlogn),这种方法是把每个节点都当做根节点,来验证其是否是二叉搜索数,并记录节点的个数,若是二叉搜索树,就更新最终结果,参见代码如下:
解法一:
class Solution { public: int largestBSTSubtree(TreeNode* root) { int res = 0; dfs(root, res); return res; } void dfs(TreeNode *root, int &res) { if (!root) return; int d = countBFS(root, INT_MIN, INT_MAX); if (d != -1) { res = max(res, d); return; } dfs(root->left, res); dfs(root->right, res); } int countBFS(TreeNode *root, int mn, int mx) { if (!root) return 0; if (root->val < mn || root->val > mx) return -1; int left = countBFS(root->left, mn, root->val); if (left == -1) return -1; int right = countBFS(root->right, root->val, mx); if (right == -1) return -1; return left + right + 1; } };
题目中的Follow up让我们用O(n)的时间复杂度来解决问题,我们还是采用DFS的思想来解题,由于时间复杂度的限制,只允许我们遍历一次整个二叉树,由于满足题目要求的 二叉搜索子树必定是有叶节点的,所以我们的思路就是先递归到最左子节点,然后逐层往上递归,对于每一个节点,我们都记录当前最大的BST的节点数,当做为左子树的最大值,和做为右子树的最小值,当每次遇到左子节点不存在或者当前节点值大于左子树的最大值,且右子树不存在或者当前节点值小于右子树的最小数时,说明BST的节点数又增加了一个,我们更新结果及其参数,如果当前节点不是BST的节点,那么我们更新BST的节点数res为左右子节点的各自的BST的节点数的较大值,参见代码如下:
解法二:
class Solution { public: int largestBSTSubtree(TreeNode* root) { int res = 0, mn = INT_MIN, mx = INT_MAX; bool d = isValidBST(root, mn, mx, res); return res; } bool isValidBST(TreeNode *root, int &mn, int &mx, int &res) { if (!root) return true; int left_n = 0, right_n = 0, left_mn = INT_MIN; int right_mn = INT_MIN, left_mx = INT_MAX, right_mx = INT_MAX; bool left = isValidBST(root->left, left_mn, left_mx, left_n); bool right = isValidBST(root->right, right_mn, right_mx, right_n); if (left && right) { if ((!root->left || root->val >= left_mx) && (!root->right || root->val <= right_mn)) { res = left_n + right_n + 1; mn = root->left ? left_mn : root->val; mx = root->right ? right_mx : root->val; return true; } } res = max(left_n, right_n); return false; } };
类似题目:
参考资料:
https://leetcode.com/discuss/85959/12ms-c-solution
https://leetcode.com/discuss/86015/two-dfs-solution
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