1337. The K Weakest Rows in a Matrix (E)
The K Weakest Rows in a Matrix (E)
题目
Given a m * n
matrix mat
of ones (representing soldiers) and zeros (representing civilians), return the indexes of the k
weakest rows in the matrix ordered from the weakest to the strongest.
A row i is weaker than row j, if the number of soldiers in row i is less than the number of soldiers in row j, or they have the same number of soldiers but i is less than j. Soldiers are always stand in the frontier of a row, that is, always ones may appear first and then zeros.
Example 1:
Input: mat =
[[1,1,0,0,0],
[1,1,1,1,0],
[1,0,0,0,0],
[1,1,0,0,0],
[1,1,1,1,1]],
k = 3
Output: [2,0,3]
Explanation:
The number of soldiers for each row is:
row 0 -> 2
row 1 -> 4
row 2 -> 1
row 3 -> 2
row 4 -> 5
Rows ordered from the weakest to the strongest are [2,0,3,1,4]
Example 2:
Input: mat =
[[1,0,0,0],
[1,1,1,1],
[1,0,0,0],
[1,0,0,0]],
k = 2
Output: [0,2]
Explanation:
The number of soldiers for each row is:
row 0 -> 1
row 1 -> 4
row 2 -> 1
row 3 -> 1
Rows ordered from the weakest to the strongest are [0,2,3,1]
Constraints:
m == mat.length
n == mat[i].length
2 <= n, m <= 100
1 <= k <= m
matrix[i][j]
is either 0 or 1.
题意
给定一个二维数组,将其按照每个一维数组中1的个数从小到大排序,取前K个。
思路
直接建堆排序处理。
代码实现
Java
class Solution {
public int[] kWeakestRows(int[][] mat, int k) {
Queue<int[]> heap = new PriorityQueue<>(k, (a, b) -> a[1] - b[1] != 0 ? a[1] - b[1] : a[0] - b[0]);
for (int i = 0; i < mat.length; i++) {
int cnt = 0;
for (int j = 0; j < mat[i].length; j++) {
if (mat[i][j] == 1) cnt++;
}
heap.offer(new int[]{i, cnt});
}
int[] ans = new int[k];
for (int i = 0; i < k; i++) {
ans[i] = heap.poll()[0];
}
return ans;
}
}