题目地址:Kth Smallest Element in a BST - LeetCode
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?
这道题目是经典的查找二叉树中第K小的元素,标准做法就是中序遍历,找到第K个值。
递归的Python解法如下:
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def kthSmallest(self, root: TreeNode, k: int) -> int:
def inorder(r):
return inorder(r.left) + [r.val] + inorder(r.right) if r else []
return inorder(root)[k - 1]
迭代的C++解法如下:
/**
* 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:
int kthSmallest(TreeNode *root, int k) {
stack<TreeNode *> s;
TreeNode *current = root;
TreeNode *prev = nullptr;
while (current || !s.empty()) {
while (current) {
s.push(current);
current = current->left;
}
current = s.top();
s.pop();
k--;
if (k == 0) {
break;
}
prev = current;
current = current->right;
}
return current->val;
}
};