My Thought Process (Java DSA)
When I came across this problem, it initially looked slightly complex. Instead of directly writing code, I tried to understand what “kth smallest” actually means.
Problem Statement
We are given:
- An array of integers
arr[] - An integer
k
The task is to find the kth smallest element in the array.
Initial Thinking
Let’s take an example:
arr = [10, 5, 4, 3, 48, 6, 2, 33, 53, 10]
k = 4
If I arrange the array in sorted order:
[2, 3, 4, 5, 6, 10, 10, 33, 48, 53]
Now the 4th smallest element becomes:
5
Key Observation
The term “kth smallest” directly relates to sorted order.
So one straightforward approach is:
- Sort the array
- Return the element at index
k - 1
Approach
- Sort the array
- Access the element at index
k - 1 - Return the result
HOW it Runs
arr = [7, 10, 4, 3, 20, 15]
k = 3
Sorted → [3, 4, 7, 10, 15, 20]
Answer → arr[2] = 7
Code (Java)
import java.util.*;
class Solution {
public int kthSmallest(int[] arr, int k) {
Arrays.sort(arr);
return arr[k - 1];
}
}
Why This Works
- Sorting arranges elements in increasing order
- The kth smallest element will always be at position
k - 1 - The approach is simple and easy to implement
Complexity Analysis
- Time Complexity: O(n log n)
- Space Complexity: O(1)
Final Thought
This problem shows that understanding the requirement clearly can lead to a simple solution.
Instead of overthinking, identifying that “kth smallest” depends on ordering helps in solving it directly.
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