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.
Example 2:
1
/ \
2 3
Binary tree[1,2,3]
, return false.
S1: recursion O(n)
一层层更新当前的min max boundary
class Solution {
public:
bool isValidBST(TreeNode* root) {
return bfs(root, LONG_MIN, LONG_MAX);
}
bool bfs(TreeNode* node, long preMin, long preMax) {
if (!node) {
return true;
}
if (node->val <= preMin || node->val >= preMax) {
return false;
}
return bfs(node->left, preMin, node->val) && bfs(node->right, node->val, preMax);
}
};
S2: inorder traversal O(n)
inorder traversal是排好序的
bool isValidBST(TreeNode* root) {
stack<TreeNode*> stk;
TreeNode* node = root;
long pre = LONG_MIN;
while (node || !stk.empty()) {
while(node) {
stk.push(node);
node = node->left;
}
node = stk.top();
if (pre >= node->val) {
return false;
}
pre = node->val;
stk.pop();
node = node->right;
}
return true;
}