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 keysless thanthe node's key.
The right subtree of a node contains only nodes with keysgreater thanthe node's key.
Both the left and right subtrees must also be binary search trees.
Example 1:
2 / \ 1 3Binary tree
[2,1,3], return true.
Example 2:
1
/ \
2 3
Binary tree[1,2,3], return false.
思路:二叉搜索树是当前节点比左子树所有节点大且比右子树所有节点小!!!不是比左节点和右节点!!!这点容易写错。
有递归深度优先遍历或者非递归都可以。
/**
* 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;
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&&pre.val >= root.val) return false;
pre = root;
root = root.right;
}
return true;
}
}
或者
public class Solution {
public boolean isValidBST(TreeNode root) {
return isValidBST(root, Long.MIN_VALUE, Long.MAX_VALUE);
}
public boolean isValidBST(TreeNode root, long minVal, long maxVal) {
if (root == null) return true;
if (root.val >= maxVal || root.val <= minVal) return false;
return isValidBST(root.left, minVal, root.val) && isValidBST(root.right, root.val, maxVal);
}
}