- LeetCode #98 #99 #701 #700 #Lint
- Leetcode 98. Validate Binary Se
- [Leetcode]98. Validate Binary Se
- Leetcode 98 Validate Binary Sear
- LeetCode 有关二叉树的做题笔记 Python实现
- LeetCode 98 验证二叉搜索树 Validate Bin
- Leetcode 98. Validate Binary Sea
- [leetcode] 98. Validate Binary S
- LeetCode 98 Validate Binary Sear
- leetcode :树(medium)
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
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.
题意:验证二叉搜索树
思路1:一开始的范围是负无穷到正无穷,然后自上而下根据范围递归判断是否满足所有的左子树都小于根结点,右子树都大于根结点
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class Solution {
public:
bool isValidBST(TreeNode* root) {
return dfs(root,INT_MIN,INT_MAX);
}
bool dfs(TreeNode*root,long long minv,long long maxv)
{
if(root==NULL)
return true;
if(root->val<minv||root->val>maxv)
return false;
return dfs(root->left,minv,root->val-1ll) && dfs(root->right,root->val+1ll,maxv);
}
};
为什么使用long long ?
因为:一开始是边界负无穷,减一会溢出,所以必须用long long
思路2:判断中序遍历是否递增
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class Solution {
public:
vector<int>v;
bool isValidBST(TreeNode* root) {
if(root==NULL||(root->left==NULL && root->right==NULL))
return true;
inorder(root);
for(int i=1;i<v.size();i++)
if(v[i]<=v[i-1])
return false;
return true;
}
void inorder(TreeNode* root){
if(root==NULL)
return ;
inorder(root->left);
v.push_back(root->val);
inorder(root->right);
}
};
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