My Thinking and Approach
Introduction
In this problem, I was given an array of integers and asked to find the kth smallest element in the array.
The kth smallest element is based on the sorted order of the array.
Problem Statement
Given an array of integers
arrGiven an integer
kFind the kth smallest element
-
Note:
- The kth smallest is based on sorted order
My Initial Thought
At first, I considered:
- Sorting the array
- Returning the element at index
k - 1
This approach is simple and works correctly.
Key Observation
Sorting gives the correct answer:
-
After sorting:
- 1st smallest → index 0
- kth smallest → index k - 1
Optimized Approach
I decided to:
- Sort the array
- Return the element at index
k - 1
Logic:
- Sort the array in ascending order
- Return arr[k - 1]
My Approach (Step-by-Step)
- Sort the array
- Find the element at index
k - 1 - Return that element
Code (Python)
def kthSmallest(arr, k):
arr.sort()
return arr[k - 1]
Example Walkthrough
Input:
arr = [10, 5, 4, 3, 48, 6, 2, 33, 53, 10], k = 4
Steps:
- Sort → [2, 3, 4, 5, 6, 10, 10, 33, 48, 53]
- 4th smallest → index 3 → value = 5
Output:
5
Complexity Analysis
| Type | Complexity |
|---|---|
| Time Complexity | O(n log n) |
| Space Complexity | O(1) |
Key Takeaways
- Sorting helps in finding order-based elements
- Indexing plays an important role
- Simple approach is often sufficient
Conclusion
This problem helped me understand how sorting can be used to solve order-based problems like finding the kth smallest element.
It is simple and effective for most cases.
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