Medium
You are given two arrays rowSum
and colSum
of non-negative integers where rowSum[i]
is the sum of the elements in the ith
row and colSum[j]
is the sum of the elements of the jth
column of a 2D matrix. In other words, you do not know the elements of the matrix, but you do know the sums of each row and column.
Find any matrix of non-negative integers of size rowSum.length x colSum.length
that satisfies the rowSum
and colSum
requirements.
Return a 2D array representing any matrix that fulfills the requirements. It’s guaranteed that at least one matrix that fulfills the requirements exists.
Example 1:
Input: rowSum = [3,8], colSum = [4,7]
Output: [[3,0], [1,7]]
Explanation:
0th row: 3 + 0 = 3 == rowSum[0]
1st row: 1 + 7 = 8 == rowSum[1]
0th column: 3 + 1 = 4 == colSum[0]
1st column: 0 + 7 = 7 == colSum[1]
The row and column sums match, and all matrix elements are non-negative.
Another possible matrix is: [[1,2], [3,5]]
Example 2:
Input: rowSum = [5,7,10], colSum = [8,6,8]
Output: [[0,5,0], [6,1,0], [2,0,8]]
Constraints:
1 <= rowSum.length, colSum.length <= 500
0 <= rowSum[i], colSum[i] <= 108
sum(rows) == sum(columns)
public class Solution {
public int[][] restoreMatrix(int[] rowSum, int[] colSum) {
int[][] ans = new int[rowSum.length][colSum.length];
for (int i = 0; i < rowSum.length; i++) {
for (int j = 0; j < colSum.length; j++) {
if (rowSum[i] != 0 && colSum[j] != 0) {
ans[i][j] = Math.min(rowSum[i], colSum[j]);
rowSum[i] -= ans[i][j];
colSum[j] -= ans[i][j];
}
}
}
return ans;
}
}