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LeetCode 98. Validate Binary Search Tree

98. Validate Binary Search Tree

Difficulty:: Medium

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:

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5
Input:
2
/ \
1 3
Output: true

Example 2:

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    5
/ \
1 4
/ \
3 6
Output: false
Explanation: The input is: [5,1,4,null,null,3,6]. The root node's value
is 5 but its right child's value is 4.

Solution

Language: Java

递归法

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/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public boolean isValidBST(TreeNode root) {
if (root == null) {
return true;
}
return validHelper(root, Long.MIN_VALUE, Long.MAX_VALUE);
}

private boolean validHelper(TreeNode root, long minVal, long maxVal) {
if (root == null) {
return true;
}
if (root.val >= maxVal || root.val <= minVal) {
return false;
}
return validHelper(root.left, minVal, root.val) && validHelper(root.right, root.val, maxVal);
}
}

中序遍历法

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/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public boolean isValidBST(TreeNode root) {
if (root == null) {
return true;
}
Deque<TreeNode> dq = new ArrayDeque<>();
long prev = Long.MIN_VALUE;
TreeNode cur = root;
while (!dq.isEmpty() || cur != null) {
if (cur != null) {
dq.push(cur);
cur = cur.left;
} else {
cur = dq.pop();
if (cur.val <= prev) {
return false;
}
prev = cur.val;
cur = cur.right;
}
}
return true;
}
}