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.
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?
Show Hint
Credits:
Special thanks to @ts for adding this problem and creating all test cases.
Show Tags
Show Similar Problems
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def kthSmallest(self, root, k):
""" :type root: TreeNode :type k: int :rtype: int """
self.res, self.counter = 0,0
self.helper(root, k)
return self.res
def helper(self, root, k):
if root.left!=None:
self.helper(root.left, k) # record how many nodes in the left subtree
self.counter += 1 # count +1 because of the root
if self.counter==k:
self.res = root.val
return
if root.right!=None:
self.helper(root.right, k)