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Given an array arr[], of size N and an integer S, the task is to find the minimum operations to make the sum of the array less than or equal to S. In each operation:
Examples:
Input: arr[]= {1, 2, 1 ,3, 1 ,2, 1}, S= 8
Output: 2
Explanation: Initially sum of the array is 11.
Now decrease 1 at index 0 to 0 and Replace 3 by 0.
The sum becomes 7 < 8. So 2 operations.Input: arr[] = {1,2,3,4}, S= 11
Output: 0
Explanation: Sum is already < =11 so 0 operations.
Approach: This problem can be solved using the greedy approach and suffix sum by sorting the array. Applying the 1st operation on the minimum element any number of times and then applying the 2nd operation on the suffixes by replacing it with the minimum element after the first operation gives the minimum operations.
First sort the array. Consider performing x operations of 1st type on the arr[0] and then performing the 2nd operation on the suffix of the array of length i. Also consider the sum for this suffix of length i is sufSum.
Sum of the modified array must be <=S
So, the difference to be subtracted from the sum must be (diff)>= sum - S.If x operations of type 1 is done on minimum element and type 2 operations are done the suffix of the array from [i,n) the sum of the decreased array is
cost = x + s - (n-i) * (a[0] - x)
cost = (n-i+1)* x-(n-i)* a[0] +s
cost >= sum - S = diff
s - (n-i) * a[0] + (n-i+1) *x >= diff
so x >= (diff - s+(n-i)* a[0]) / (n-i+1)The minimum value of x is x = ceil((diff -s+ (n-i)* a[0]) / (n-i+1))
So the total operations are x (type-1) + (n-i) type-2
Follow these steps to solve the above problems:
Below is the implementation of the above approach:
2
Time Complexity: O(N* logN)
Space Complexity: O(1)