Minimum Elements to Add to Form a Given Sum
Problem Statement​
Problem Description​
You are given an integer array nums
and two integers limit
and goal
. The array nums
has an interesting property that abs(nums[i]) <= limit
.
Return the minimum number of elements you need to add to make the sum of the array equal to goal
. The array must maintain its property that abs(nums[i]) <= limit
.
Note that abs(x)
equals x
if x >= 0
, and -x
otherwise.
Example​
Example 1:
Input: nums = [1, -1, 1], limit = 3, goal = -4
Output: 2
Explanation: You can add -2 and -3, then the sum of the array will be 1 - 1 + 1 - 2 - 3 = -4.
Example 2:
Input: nums = [1, -10, 9, 1], limit = 100, goal = 0
Output: 1
Constraints​
- 1 <=
nums.length
<= 10^5 - 1 <=
limit
<= 10^6 - -
limit
<=nums[i]
<=limit
- -10^9 <=
goal
<= 10^9
Solution​
Intuition​
To solve this problem efficiently, we can use a greedy approach. We need to calculate the difference between the current sum of nums
and the goal
. Based on this difference, we can determine how many elements are required to achieve the desired sum. The key steps are:
- Calculate the Current Sum: Compute the sum of the
nums
array. - Determine the Difference: Find the absolute difference between the current sum and the
goal
. - Calculate the Minimum Number of Elements: Given that each element added can have a maximum magnitude of
limit
, compute the minimum number of such elements required to cover the difference.
Time Complexity and Space Complexity Analysis​
-
Time Complexity:
- Calculating the sum of the
nums
array takes , wheren
is the length of the array. - Calculating the minimum number of elements involves a simple arithmetic operation, which is .
Overall time complexity is .
- Calculating the sum of the
-
Space Complexity:
- The space complexity is as we are using a fixed amount of extra space.
Code​
C++​
class Solution {
public:
int minElements(vector<int>& nums, int limit, int goal) {
long long sum = accumulate(nums.begin(), nums.end(), 0LL);
long long diff = abs(sum - goal);
return (diff + limit - 1) / limit; // Equivalent to ceil(diff / limit)
}
};
Python​
class Solution:
def minElements(self, nums: List[int], limit: int, goal: int) -> int:
current_sum = sum(nums)
diff = abs(current_sum - goal)
return (diff + limit - 1) // limit # Equivalent to ceil(diff / limit)
Java​
import java.util.List;
class Solution {
public int minElements(List<Integer> nums, int limit, int goal) {
long currentSum = 0;
for (int num : nums) {
currentSum += num;
}
long diff = Math.abs(currentSum - goal);
return (int) ((diff + limit - 1) / limit); // Equivalent to ceil(diff / limit)
}
}