LeetCode 3193: Count the Number of Inversions Solution
Master LeetCode problem 3193 (Count the Number of Inversions), a hard 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.
3193. Count the Number of Inversions
Problem Explanation
Explanation:
To solve this problem, we can use dynamic programming. We will iterate through the requirements and build a 2D array dp to keep track of the number of permutations with specific inversion counts up to each endi. We will then use this array to compute the total number of permutations that satisfy all requirements.
- Initialize a 2D array
dpof size(n+1) x (max_inversions+1)wheremax_inversionsis the maximum inversion count in the requirements. - Initialize
dp[0][0] = 1as there is only one way to have 0 inversions with an empty prefix. - Iterate through the requirements and update
dpaccordingly. - Finally, multiply the values in the last row of
dpto get the total number of permutations that satisfy all requirements.
Time Complexity: O(n * max_inversions)
Space Complexity: O(n * max_inversions)
:
Solution Code
class Solution {
public int numberOfPermutations(int n, int[][] requirements) {
int mod = 1000000007;
int maxInversions = Arrays.stream(requirements).mapToInt(a -> a[1]).max().orElse(0);
int[][] dp = new int[n + 1][maxInversions + 1];
dp[0][0] = 1;
for (int[] req : requirements) {
int end = req[0], inversions = req[1];
int[][] temp = new int[n + 1][maxInversions + 1];
for (int i = 1; i <= n; i++) {
for (int j = 0; j <= maxInversions; j++) {
temp[i][j] = dp[i][j];
if (i > end) {
temp[i][j] = (temp[i][j] + dp[i - 1][j - (i - 1 > end ? i - 1 - end : 0)]) % mod;
}
}
}
dp = temp;
}
int result = 0;
for (int i = 0; i <= maxInversions; i++) {
result = (result + dp[n][i]) % mod;
}
return result;
}
}Try It Yourself
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