Kth Smallest Element in a BST
update Set 28 2018, 0:24
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?
Basic Idea:
基本思路可以inoder遍历,然后输出第k大的数。
对于follow up,可以使用augmented data structure的思路,在每个node中令外存储一个left subtree 的 size。如果无法改动node的结构,可以建一个hashMap来存储pair:[node, leftSize]
,然后在增删改查树的时候进行相应的更新。
Java Code:
naive解法:
class Solution {
public int kthSmallest(TreeNode root, int k) {
Deque<TreeNode> stack = new ArrayDeque<>();
TreeNode curr = root;
while (curr != null) {
stack.offerLast(curr);
curr = curr.left;
}
int num = 0;
while (! stack.isEmpty()) {
curr = stack.pollLast();
if (++num == k) return curr.val;
curr = curr.right;
while (curr != null) {
stack.offerLast(curr);
curr = curr.left;
}
}
return -1;
}
}