LintCode : Validate Binary Search Tree
LintCode : Validate Binary Search Tree
Description:
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.
- A single node tree is a BST
Example:
An example:
2
/ \
1 4
/ \
3 5
The above binary tree is serialized as {2,1,4,#,#,3,5}
(in level order).
/** * Definition of TreeNode: * public class TreeNode { * public int val; * public TreeNode left, right; * public TreeNode(int val) { * this.val = val; * this.left = this.right = null; * } * } */ public class Solution { /** * @param root: The root of binary tree. * @return: True if the binary tree is BST, or false */ public boolean isValidBST(TreeNode root) { // write your code here if (root != null) { if (root.left != null) { if (root.val <= root.left.val) { return false; } } if (root.right != null) { if (root.val >= root.right.val) { return false; } } return validBSTHelper(root.left, root.val, false) & validBSTHelper(root.right, root.val, true); } return true; } public boolean validBSTHelper(TreeNode root, int lastVal, boolean k) { if (root != null) { if (root.left != null) { if (root.val <= root.left.val || (root.left.val <= lastVal) == k) { return false; } } if (root.right != null) { if (root.val >= root.right.val || (root.right.val <= lastVal) == k) { return false; } } return validBSTHelper(root.left, root.val, false) & validBSTHelper(root.right, root.val, true); } return true; } }
The most important thing here is to remember that for one node, all the values in the left are less, all the values in the right are bigger.
posted on 2016-04-17 00:53 dingjunnan 阅读(144) 评论(0) 编辑 收藏 举报