LeetCode 2028: Find Missing Observations Solution

Master LeetCode problem 2028 (Find Missing Observations), a medium challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.

2028. Find Missing Observations

Medium

Array Math Simulation

Problem Explanation

Explanation:

To solve this problem, we need to find the missing observations that need to be added to the existing observations in order to achieve the given mean. We can calculate the total sum required for the mean by multiplying the total number of observations (n + m) with the given mean. Then, we subtract the sum of the existing observations from this total sum to get the sum of the missing observations. Since each observation is a value between 1 and 6, we can distribute this sum among the missing observations. If the sum is not divisible by the number of missing observations, or if the values are not between 1 and 6, then it is impossible to achieve the given mean. :

Solution Code

class Solution {
    public int[] missingRolls(int[] rolls, int mean, int n) {
        int m = rolls.length;
        int total = (n + m) * mean;
        int sum = 0;
        for (int roll : rolls) {
            sum += roll;
        }
        int missingSum = total - sum;
        if (missingSum < n || missingSum > n * 6) {
            return new int[0];
        }
        int[] result = new int[n];
        int avg = missingSum / n;
        int remainder = missingSum % n;
        for (int i = 0; i < n; i++) {
            result[i] = (i < remainder) ? avg + 1 : avg;
        }
        return result;
    }
}

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