Given an array of even number of elements, form groups of 2 using these array elements such that the difference between the group with highest sum and the one with lowest sum is maximum.
Note: An element can be a part of one group only and it has to be a part of at least 1 group.
Examples:
Input : arr[] = {1, 4, 9, 6} Output : 10 Groups formed will be (1, 4) and (6, 9), the difference between highest sum group (6, 9) i.e 15 and lowest sum group (1, 4) i.e 5 is 10. Input : arr[] = {6, 7, 1, 11} Output : 11 Groups formed will be (1, 6) and (7, 11), the difference between highest sum group (7, 11) i.e 18 and lowest sum group (1, 6) i.e 7 is 11.
Simple Approach: We can solve this problem by making all possible combinations and checking each set of combination differences between the group with the highest sum and with the lowest sum. A total of n*(n-1)/2 such groups would be formed (nC2).
Time Complexity: O(n^3), because it will take O(n^2) to generate groups and to check against each group n iterations will be needed thus overall it takes O(n^3) time.
Efficient Approach: We can use the greedy approach. Sort the whole array and our result is sum of last two elements minus sum of first two elements.
Java
// Java program to find minimum difference // between groups of highest and lowest // sums. import java.util.Arrays; import java.io.*; class GFG { static int CalculateMax( int arr[], int n) { // Sorting the whole array. Arrays.sort(arr); int min_sum = arr[ 0 ] + arr[ 1 ]; int max_sum = arr[n- 1 ] + arr[n- 2 ]; return (Math.abs(max_sum - min_sum)); } // Driver code public static void main (String[] args) { int arr[] = { 6 , 7 , 1 , 11 }; int n = arr.length; System.out.println (CalculateMax(arr, n)); } } |
Output:
11
Time Complexity: O (n * log n)
Space Complexity: O(1) as no extra space has been taken.
Further Optimization :
Instead of sorting, we can find a maximum two and minimum of two in linear time and reduce the time complexity to O(n).
Below is the code for the above approach.
Java
// Java program to find minimum difference // between groups of highest and lowest // sums. import java.util.Arrays; import java.io.*; class GFG { static int CalculateMax( int arr[], int n) { int first_min = Arrays.stream(arr).min().getAsInt(); int second_min = Integer.MAX_VALUE; for ( int i = 0 ; i < n ; i ++) { // If arr[i] is not equal to first min if (arr[i] != first_min) second_min = Math.min(arr[i],second_min); } int first_max = Arrays.stream(arr).max().getAsInt(); int second_max = Integer.MIN_VALUE; for ( int i = 0 ; i < n ; i ++) { // If arr[i] is not equal to first max if (arr[i] != first_max) second_max = Math.max(arr[i],second_max); } return Math.abs(first_max+second_max-first_min-second_min); } // Driver code public static void main (String[] args) { int arr[] = { 6 , 7 , 1 , 11 }; int n = arr.length; System.out.println (CalculateMax(arr, n)); } } // This code is contributed by Aman Kumar |
11
Time Complexity: O(N)
Auxiliary Space: O(1)
Please refer complete article on Maximum difference between groups of size two for more details!