Minimum difference between groups of size two

Given an array of integers arr[] of the even size n. Form the groups of two elements each from the given array arr[], such that the difference between the group with highest sum and the group with lowest sum is minimum. Your task is to find the minimum possible difference.

Note: An element can be a part of only one group, and all the elements need to be part of some group.

Example:

Input: arr[] = [ 2, 6, 4, 3 ]
Output: 1
Explanation: The two groups can be [2, 6] and [4, 7] with different between their sum of elements = 2 + 6 - 4 + 3 = 1, which is the minimum possible.

Input: arr[] = [ 11, 4, 3, 5, 7, 1 ]
Output: 3
Explanation: The one possible combination of groups are [11, 1], [3, 7] and [4, 5], with the sum of their elements 12, 10, and 9 respectively.

[Naive Approach] - Using Sorting - O(n^3) Time

A simple approach would be to try all combinations of array elements and check against each set of combination and difference between the-group-with-the-highest-sum and the one with-the-lowest-sum. A total of n*(n-1)/2 such groups would be formed (nC2). 

[Expected Approach] - Using Sorting - O(n * log n) Time and O(n) Space

It can be observed that the difference between sum of groups of elements will be smallest if the largest element is paired with the smallest one, and similarly the second largest element is paired up with the second smallest element.
The idea is to sort the given array arr[], group the first element with the last element, and the second element with the second last element and so on. Store the sum of these groups in an auxiliary array. Thereafter, find the highest and lowest sum, the difference between two is the required answer.

Below is given the implementation:

#include <bits/stdc++.h>
using namespace std;

// Function to find the minimum difference
// between sum of elements of groups
int minDiff(vector<int> &arr) {
    int n = arr.size();

    // sort the array
    sort(arr.begin(), arr.end());

    // to store the sum of groups of elements
    vector<int> sum;

    for(int i = 0; i < n / 2; i++) {

        // group the elements and find sum
        int s = arr[i] + arr[n - i - 1];
        sum.push_back(s);
    }

    // to store the highest and lowest sum
    int high = INT_MIN, low = INT_MAX;

    for(int i = 0; i < sum.size(); i++) {
        high = max(high, sum[i]);
        low = min(low, sum[i]);
    }

    return high - low;
}

int main() {
    vector<int> arr = {2, 6, 4, 3};
    cout << minDiff(arr);
    return 0;
}

// Function to find the minimum difference
// between sum of elements of groups
import java.util.*;

class GfG {

    // Function to find the minimum difference
    // between sum of elements of groups
    static int minDiff(int[] arr) {
        int n = arr.length;
        
        // sort the array
        Arrays.sort(arr);
        
        // to store the sum of groups of elements
        ArrayList<Integer> sum = new ArrayList<>();
        
        for (int i = 0; i < n / 2; i++) {
            
            // group the elements and find sum
            int s = arr[i] + arr[n - i - 1];
            sum.add(s);
        }
        
        // to store the highest and lowest sum
        int high = Integer.MIN_VALUE, low = Integer.MAX_VALUE;
        
        for (int i = 0; i < sum.size(); i++) {
            high = Math.max(high, sum.get(i));
            low = Math.min(low, sum.get(i));
        }
        
        return high - low;
    }
    
    public static void main(String[] args) {
        int[] arr = {2, 6, 4, 3};
        System.out.println(minDiff(arr));
    }
}

# Function to find the minimum difference
# between sum of elements of groups.
def minDiff(arr):
    n = len(arr)
    
    # sort the array
    arr.sort()
    
    # to store the sum of groups of elements
    sumList = []
    
    for i in range(n // 2):
        # group the elements and find sum
        s = arr[i] + arr[n - i - 1]
        sumList.append(s)
    
    # to store the highest and lowest sum
    high = -float('inf')
    low = float('inf')
    
    for i in range(len(sumList)):
        high = max(high, sumList[i])
        low = min(low, sumList[i])
    
    return high - low

if __name__ == "__main__":
    arr = [2, 6, 4, 3]
    print(minDiff(arr))

// Function to find the minimum difference
// between sum of elements of groups
using System;
using System.Collections.Generic;

class GfG {

    // Function to find the minimum difference
    // between sum of elements of groups
    static int minDiff(List<int> arr) {
        int n = arr.Count;
        
        // sort the array
        arr.Sort();
        
        // to store the sum of groups of elements
        List<int> sum = new List<int>();
        
        for (int i = 0; i < n / 2; i++) {
            
            // group the elements and find sum
            int s = arr[i] + arr[n - i - 1];
            sum.Add(s);
        }
        
        // to store the highest and lowest sum
        int high = int.MinValue, low = int.MaxValue;
        
        for (int i = 0; i < sum.Count; i++) {
            high = Math.Max(high, sum[i]);
            low = Math.Min(low, sum[i]);
        }
        
        return high - low;
    }
    
    static void Main() {
        List<int> arr = new List<int> {2, 6, 4, 3};
        Console.WriteLine(minDiff(arr));
    }
}

// Function to find the minimum difference
// between sum of elements of groups.
function minDiff(arr) {
    let n = arr.length;
    
    // sort the array
    arr.sort((a, b) => a - b);
    
    // to store the sum of groups of elements
    let sum = [];
    
    for (let i = 0; i < Math.floor(n / 2); i++) {
        
        // group the elements and find sum
        let s = arr[i] + arr[n - i - 1];
        sum.push(s);
    }
    
    // to store the highest and lowest sum
    let high = -Infinity, low = Infinity;
    
    for (let i = 0; i < sum.length; i++) {
        high = Math.max(high, sum[i]);
        low = Math.min(low, sum[i]);
    }
    
    return high - low;
}

let arr = [2, 6, 4, 3];
console.log(minDiff(arr));

1

[Optimized Approach] - Using Sorting - O(n * log n) Time and O(1) Space

In the above approach, instead of storing the sum of groups of elements, the idea is to directly compute the highest and lowest sum as we only need these two values. And after grouping all the elements, return the difference of the highest and lowest sum.

Below is given the implementation:

#include <bits/stdc++.h>
using namespace std;

// Function to find the minimum difference
// between sum of elements of groups
int minDiff(vector<int> &arr) {
    int n = arr.size();

    // sort the array
    sort(arr.begin(), arr.end());

    // to store the highest and lowest sum
    int high = INT_MIN, low = INT_MAX;

    for(int i = 0; i < n / 2; i++) {

        // group the elements and find sum
        int s = arr[i] + arr[n - i - 1];

        // update the highest and lowest sum
        high = max(high, s);
        low = min(low, s);        
    }

    return high - low;
}

int main() {
    vector<int> arr = {2, 6, 4, 3};
    cout << minDiff(arr);
    return 0;
}

// Function to find the minimum difference
// between sum of elements of groups
import java.util.*;

class GfG {

    // Function to find the minimum difference
    // between sum of elements of groups
    static int minDiff(int[] arr) {
        int n = arr.length;
        
        // sort the array
        Arrays.sort(arr);
        
        // to store the highest and lowest sum
        int high = Integer.MIN_VALUE, low = Integer.MAX_VALUE;
        
        for (int i = 0; i < n / 2; i++) {
            
            // group the elements and find sum
            int s = arr[i] + arr[n - i - 1];
            
            // update the highest and lowest sum
            high = Math.max(high, s);
            low = Math.min(low, s);
        }
        
        return high - low;
    }
    
    public static void main(String[] args) {
        int[] arr = {2, 6, 4, 3};
        System.out.println(minDiff(arr));
    }
}

# Function to find the minimum difference
# between sum of elements of groups.
def minDiff(arr):
    n = len(arr)
    
    # sort the array
    arr.sort()
    
    # to store the highest and lowest sum
    high = -float('inf')
    low = float('inf')
    
    for i in range(n // 2):
        
        # group the elements and find sum
        s = arr[i] + arr[n - i - 1]
        
        # update the highest and lowest sum
        high = max(high, s)
        low = min(low, s)
    
    return high - low

if __name__ == "__main__":
    arr = [2, 6, 4, 3]
    print(minDiff(arr))

// Function to find the minimum difference
// between sum of elements of groups
using System;
using System.Collections.Generic;

class GfG {

    // Function to find the minimum difference
    // between sum of elements of groups
    static int minDiff(List<int> arr) {
        int n = arr.Count;
        
        // sort the array
        arr.Sort();
        
        // to store the highest and lowest sum
        int high = int.MinValue, low = int.MaxValue;
        
        for (int i = 0; i < n / 2; i++) {
            
            // group the elements and find sum
            int s = arr[i] + arr[n - i - 1];
            
            // update the highest and lowest sum
            high = Math.Max(high, s);
            low = Math.Min(low, s);
        }
        
        return high - low;
    }
    
    static void Main() {
        List<int> arr = new List<int> { 2, 6, 4, 3 };
        Console.WriteLine(minDiff(arr));
    }
}

// Function to find the minimum difference
// between sum of elements of groups.
function minDiff(arr) {
    let n = arr.length;
    
    // sort the array
    arr.sort((a, b) => a - b);
    
    // to store the highest and lowest sum
    let high = -Infinity, low = Infinity;
    
    for (let i = 0; i < Math.floor(n / 2); i++) {
        
        // group the elements and find sum
        let s = arr[i] + arr[n - i - 1];
        
        // update the highest and lowest sum
        high = Math.max(high, s);
        low = Math.min(low, s);
    }
    
    return high - low;
}
 
let arr = [2, 6, 4, 3];
console.log(minDiff(arr));

1

aditya gupta 4

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Article Tags :

• Greedy
• Sorting
• Competitive Programming
• DSA
• Arrays

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