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More:【目录】LeetCode Java实现
https://leetcode.com/problems/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:
Example 1:
2 / 1 3 Input: [2,1,3] Output: true
Example 2:
5 / 1 4 / 3 6 Input: [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.
1.Method 1:
* Determine if left subtree and right subtree are valid binary search trees
* Compare root.val with maxValue in left subtree and minValue in right subtree;
2.Method 2:
* give the maxium range {max, min} for root.val
* update the {max, min} for subtree‘s root.
Method 1
public boolean isValidBST(TreeNode root) {
if(root==null )
return true;
TreeNode left = root.left, right=root.right;
if(!isValidBST(left) || !isValidBST(right))
return false;
// find the maxNode in left subtree
if(left!=null)
while(left.right!=null)
left=left.right;
// find the minNode in right subtree
if(right!=null)
while(right.left!=null)
right=right.left;
return (left==null || left.val<root.val)
&&(right==null || right.val>root.val);
}
Method 2
public boolean isValidBST(TreeNode root) {
return helper(root, (long)Integer.MIN_VALUE-1, (long)Integer.MAX_VALUE+1);
}
private boolean helper(TreeNode node, long min, long max){
if(node == null)
return true;
return (node.val < max && node.val>min)
&& helper(node.left, min, node.val)
&& helper(node.right, node.val, max);
}
Method 1:
Time complexity : O(nlogn)
Space complexity : O(n)
Method 2:
Time complexity : O(n)
Space complexity : O(n)
More:【目录】LeetCode Java实现
【LeetCode】98. Validate Binary Search Tree
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原文地址:https://www.cnblogs.com/yongh/p/11750691.html