98. Validate Binary Search Tree

Given a binary tree, determine if it is a valid binary search tree (BST).
Assume a BST is defined as follows:
The left subtree of a node contains only nodes with keys less than the node's key.
The right subtree of a node contains only nodes with keys greater than the node's key.
Both the left and right subtrees must also be binary search trees.
Example 1:

    2
   / \
  1   3

Binary tree [2,1,3], return true.

Solution1：Recursively check range

Recursively check every node to see if it is in its valid range
// trick: Use Long.MIN_VALUE to handle the input is Integer.MAX/MIN_VALUE
Time Complexity: O(N)
Space Complexity: worst O(层数N) ，Avg:O(层数logn) 作为递归缓存

Solution2：In-order traversal

In-order 中序遍历，检查是否持续递增
Time Complexity: O(N)
Space Complexity: worst O(结点数：N) ，Avg:O(层数：logN) stack使用

Solution1 Code：

class Solution1 {
    public boolean isValidBST(TreeNode root) {
        return isValid(root, Long.MIN_VALUE, Long.MAX_VALUE);
    }

    private boolean isValid(TreeNode node, long min, long max) {
        if(node == null) return true;
        if(node.val <= min || node.val >= max) return false;
        else return isValid(node.left, min, node.val) && isValid(node.right, node.val, max);
    }
}

Solution2 Code：

class Solution2 {
    public boolean isValidBST(TreeNode root) {
        if (root == null) return true;
        Stack stack = new Stack<>();
        TreeNode pre = null;
        while (root != null || !stack.isEmpty()) {
            while (root != null) {
                stack.push(root);
                root = root.left;
            }
            root = stack.pop();
            if(pre != null && root.val <= pre.val) return false;
            pre = root;
            root = root.right;
        }
        return true;
    }
}