Question

Formatted question description: https://leetcode.ca/all/333.html

Level

Medium

Description

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.

Example:

Input: [10,5,15,1,8,null,7]

   10 
   / \ 
  5  15 
 / \   \ 
1   8   7

Output: 3
Explanation: The Largest BST Subtree in this case is the subtree [5,1,8]. The return value is the subtree's size, which is 3.

Follow up:

Can you figure out ways to solve it with O(n) time complexity?

Algorithm

For each node, verify whether it is BST, and if it is, count the number of nodes.

Code

Java

public class Largest_BST_Subtree {
    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */

    public class Solution {

        private int max = 0;

        public int largestBSTSubtree(TreeNode root) {
            if (root == null) {
                return 0;
            }

            dfs(root);

            return max;
        }

        private SubTreeData dfs(TreeNode root) {
            SubTreeData curr = new SubTreeData();
            if (root == null) {
                curr.isBST = true;
                return curr;
            }

            SubTreeData left = dfs(root.left);
            SubTreeData right = dfs(root.right);

            curr.lower = Math.min(root.val, Math.min(left.lower, right.lower));
            curr.upper = Math.max(root.val, Math.max(left.upper, right.upper));

            if (left.isBST && root.val > left.upper && right.isBST && root.val < right.lower) {
                curr.size = left.size + right.size + 1;
                curr.isBST = true;
                max = Math.max(max, curr.size);
            } else {
                curr.size = 0; // can delete, already is 0. just like isBST already false
            }

            return curr;
        }
    }

    class SubTreeData {
        int size = 0; // exclude root self
        int lower = Integer.MAX_VALUE;
        int upper = Integer.MIN_VALUE;
        boolean isBST = false;
    }
}

// OJ: https://leetcode.com/problems/largest-bst-subtree/
// Time: O(N)
// Space: O(H)
class Solution {
    int ans = 0;
    array<int, 3> dfs(TreeNode *root) { // min, max, count. If invalid, count = -1
        if (!root) return {INT_MAX,INT_MIN,0};
        auto left = dfs(root->left), right = dfs(root->right);
        bool valid = left[2] != -1 && right[2] != -1 && left[1] < root->val && right[0] > root->val;
        if (valid) ans = max(ans, 1 + left[2] + right[2]);
        return {left[2] ? left[0] : root->val, right[2] ? right[1] : root->val, valid ? 1 + left[2] + right[2] : -1};
    }
public:
    int largestBSTSubtree(TreeNode* root) {
        dfs(root);
        return ans;
    }
};

# Definition for a binary tree node.
# class TreeNode(object):
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

class Solution(object):
  def largestBSTSubtree(self, root):
    """
    :type root: TreeNode
    :rtype: int
    """

    def helper(root):
      if not root:
        return (0, 0, float("inf"), float("-inf"))  # numBST, maxNumBST, min, max
      lnumBST, lmaxNumBST, lmin, lmax = helper(root.left)
      rnumBST, rmaxNumBST, rmin, rmax = helper(root.right)
      numBST = -1
      if lmax < root.val < rmin and lnumBST != -1 and rnumBST != -1:
        numBST = 1 + lnumBST + rnumBST
      maxNumBST = max(1, lmaxNumBST, rmaxNumBST, numBST)
      return numBST, maxNumBST, min(lmin, rmin, root.val), max(lmax, rmax, root.val)

    return helper(root)[1]

333 - Largest BST Subtree

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