LeetCode-in-Java

98. Validate Binary Search Tree

Medium

Given the root of a binary tree, determine if it is a valid binary search tree (BST).

A valid BST is defined as follows:

Example 1:

Input: root = [2,1,3]

Output: true

Example 2:

Input: root = [5,1,4,null,null,3,6]

Output: false

Explanation: The root node’s value is 5 but its right child’s value is 4.

Constraints:

To solve the “Validate Binary Search Tree” problem in Java with the Solution class, follow these steps:

  1. Define a method isValidBST in the Solution class that takes the root of a binary tree as input and returns true if the tree is a valid binary search tree (BST), and false otherwise.
  2. Implement a recursive approach to validate if the given binary tree is a valid BST:
    • Define a helper method isValidBSTHelper that takes the root node, a lower bound, and an upper bound as input parameters.
    • In the isValidBSTHelper method, recursively traverse the binary tree nodes.
    • At each node, check if its value is within the specified bounds (lower bound and upper bound) for a valid BST.
    • If the node’s value violates the BST property, return false.
    • Otherwise, recursively validate the left and right subtrees by updating the bounds accordingly.
    • If both the left and right subtrees are valid BSTs, return true.
  3. Call the isValidBSTHelper method with the root node and appropriate initial bounds to start the validation process.

Here’s the implementation of the isValidBST method in Java:

class Solution {
    public boolean isValidBST(TreeNode root) {
        return isValidBSTHelper(root, null, null);
    }
    
    private boolean isValidBSTHelper(TreeNode node, Integer lower, Integer upper) {
        if (node == null) {
            return true;
        }
        
        int val = node.val;
        if ((lower != null && val <= lower) || (upper != null && val >= upper)) {
            return false;
        }
        
        return isValidBSTHelper(node.left, lower, val) && isValidBSTHelper(node.right, val, upper);
    }
}

This implementation recursively validates whether the given binary tree is a valid BST in O(n) time complexity, where n is the number of nodes in the tree.