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Find the Array element left after alternate removal of minimum and maximum

Last Updated : 24 Mar, 2023
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Given an array Arr of length N, it is reduced by 1 element at each step. Maximum and Minimum elements will be removed in alternating order from the remaining array until a single element is remaining in the array. The task is to find the remaining element in the given array.

Examples:

Input: arr[] = {1, 5, 4, 2}
Output: 2
Explanation
Remove Max element i.e., 5 arr[] = {1, 4, 2}
Remove Min element i.e., 1 arr[] = {4, 2}
Remove Max element i.e., 4 arr[] = {2}

Input: arr[] = {5, 10}
Output: 5

Approach:

Follow the below idea to solve the problem:

The idea is to sort the array and return the middle element as all of the right and left elements will be removed in the process.

Follow the below steps to solve this problem:

  • If N =1, return arr[0]
  • Sort the array arr[]
  • Return the middle element of the array i.e., arr[(N-1)/2]

Below is the implementation of the above approach:

C++




// C++ code to implement the approach
  
#include <bits/stdc++.h>
using namespace std;
  
// Function to find the element left
int lastRemaining(int arr[], int N)
{
    // If single element in array
    if (N == 1)
        return arr[0];
  
    // Sort the array
    sort(arr, arr + N);
  
    // return middle element
    return arr[(N - 1) / 2];
}
  
// Driver Code
int main()
{
    int arr[] = { 1, 5, 4, 2 };
    int N = sizeof(arr) / sizeof(arr[0]);
  
    // Function call
    cout << lastRemaining(arr, N) << endl;
    return 0;
}


Java




// Java code to implement the approach
import java.util.*;
  
class GFG {
  
    // Function to find the element left
    static int lastRemaining(int arr[], int N)
    {
        // If single element in array
        if (N == 1)
            return arr[0];
  
        // Sort the array
        Arrays.sort(arr);
  
        // return middle element
        return arr[(N - 1) / 2];
    }
    // Driver Code
    public static void main(String[] args)
    {
        int arr[] = { 1, 5, 4, 2 };
        int N = arr.length;
  
        // Function call
        System.out.print(lastRemaining(arr, N));
    }
}
  
// This code is contributed by sanjoy_62.


Python3




# Python code to implement the approach
  
# Function to find the element left
def lastRemaining(arr, N):
      
    # If single element in array
    if (N == 1):
        return arr[0]
  
    # Sort the array
    arr.sort()
  
    # return middle element
    return arr[(N - 1) // 2]
  
# Driver Code
arr = [ 1, 5, 4, 2 ]
N = len(arr)
  
# Function call
print(lastRemaining(arr, N))
  
# This code is contributed by athakur42u.


C#




// C# code to implement the approach
using System;
class GFG {
  
    // Function to find the element left
    static int lastRemaining(int[] arr, int N)
    {
  
        // If single element in array
        if (N == 1)
            return arr[0];
  
        // Sort the array
        Array.Sort(arr);
  
        // return middle element
        return arr[(N - 1) / 2];
    }
  
    // Driver code
    public static void Main(string[] args)
    {
        int[] arr = { 1, 5, 4, 2 };
        int N = arr.Length;
  
        // Function call
        Console.Write(lastRemaining(arr, N));
    }
}
  
// This code is contributed by code_hunt.


Javascript




<script>
        // JS code to implement the approach
  
        // Function to find the element left
        function lastRemaining(arr, N)
        {
          
            // If single element in array
            if (N == 1)
                return arr[0];
  
            let x = Math.floor((N - 1) / 2);
            // Sort the array
            arr.sort(function (a, b) { return a - b })
  
            // return middle element
            return arr[x];
        }
  
        // Driver Code
        let arr = [1, 5, 4, 2];
        let N = arr.length;
  
        // Function call
        document.write(lastRemaining(arr, N));
  
// This code is contributed by lokeshpotta20.
    </script>


Output

2

Time Complexity: O(N * log(N)), for sorting the given array of size N.
Auxiliary Space: O(1), as constant extra space is required.



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