Given a binary search tree, write a function kthSmallest
to find the kth smallest element in it.
Note:
You may assume k is always valid, 1 ≤ k ≤ BST's total elements.
Example 1:
Input: root = [3,1,4,null,2], k = 1
3
/ \
1 4
\
2
Output: 1
Example 2:
Input: root = [5,3,6,2,4,null,null,1], k = 3
5
/ \
3 6
/ \
2 4
/
1
Output: 3
Follow up:
What if the BST is modified (insert/delete operations) often and you need to find the kth smallest frequently? How would you optimize the kthSmallest routine?
思路:
这道题本质上就是遍历一个搜索二叉树,同样有不同的解法,常见的是递归解法和迭代解法;其中迭代解法需要注意迭代的转移条件。
递归解法:
class Solution {
public:
int kthSmallest(TreeNode* root, int k) {
stack<TreeNode*> s;
while (!s.empty() || root) {
if (root) {
s.push(root);
root = root->left;
}
else {
root = s.top(); s.pop();
if (--k == 0) return root->val;
root = root->right;
}
}
return 0;
}
};
迭代解法:
class Solution {
public:
int kthSmallest(TreeNode* root, int k) {
stack<TreeNode*> s;
while (!s.empty() || root) {
if (root) {
s.push(root);
root = root->left;
}
else {
root = s.top(); s.pop();
if (--k == 0) return root->val;
root = root->right;
}
}
return 0;
}
};