Kth Smallest Element in a BST
Explore how to identify the kth smallest element in a binary search tree using depth-first search. Understand the problem constraints, practice restructuring logic, and implement an optimal solution. This lesson enhances your ability to solve common tree-based coding interview questions efficiently.
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Statement
Given the root node of a binary search tree and an integer value k, return the smallest value in the tree.
Constraints:
- The number of nodes in the tree is .
-
Node.data
Examples
Understand the problem
Let’s take a moment to make sure you’ve correctly understood the problem. The quiz below helps you check if you’re solving the correct problem:
Kth Smallest Element in a BST
What is the smallest element when we have the following input?
k = 4
BST:
3
/ \
1 4
\
2
4
1
3
2
Figure it out!
We have a game for you to play. Rearrange the logical building blocks to develop a clearer understanding of how to solve this problem.
Note: As an additional challenge, we have intentionally hidden the solution to this puzzle.
Try it yourself
Implement your solution in main.py in the following coding playground.
We have left the solution to this challenge as an exercise for you. An optimal solution to this problem runs in O(n) time and takes O(n) space. You may try to translate the logic of the solved puzzle into a coded solution.
# Definition for a binary tree node# class TreeNode:# def __init__(self, data):# self.data = data# self.left = None# self.right = Nonefrom ds_v1.BinaryTree.BinaryTree import TreeNodedef kth_smallest_element(root, k):# Replace this placeholder return statement with your codereturn -1