Count square submatrices with all ones¶
Time: O(MxN); Space: O(1); medium
Given a m * n matrix of ones and zeros, return how many square submatrices have all ones.
Example 1:
Input: matrix =
[
[0,1,1,1],
[1,1,1,1],
[0,1,1,1]
]
Output: 15
Explanation:
There are 10 squares of side 1.
There are 4 squares of side 2.
There is 1 square of side 3.
Total number of squares = 10 + 4 + 1 = 15.
Example 2:
Input: matrix =
[
[1,0,1],
[1,1,0],
[1,1,0]
]
Output: 7
Explanation:
There are 6 squares of side 1.
There is 1 square of side 2.
Total number of squares = 6 + 1 = 7.
Constraints:
1 <= len(arr) <= 300
1 <= len(arr[0]) <= 300
0 <= arr[i][j] <= 1
Hints:
Create an additive table that counts the sum of elements of submatrix with the superior corner at (0,0).
Loop over all subsquares in O(n^3) and check if the sum make the whole array to be ones, if it checks then add 1 to the answer.
1. Dynamic programming [O(MxN), O(1)]¶
[4]:
class Solution1(object):
"""
Time: O(M*N)
Space: O(1)
"""
def countSquares(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: int
"""
for i in range(1, len(matrix)):
for j in range(1, len(matrix[0])):
if not matrix[i][j]:
continue
l = min(matrix[i-1][j], matrix[i][j-1])
matrix[i][j] = l+1 if matrix[i-l][j-l] else l
return sum(x for row in matrix for x in row)
[5]:
s = Solution1()
matrix = [
[0,1,1,1],
[1,1,1,1],
[0,1,1,1]
]
assert s.countSquares(matrix) == 15
matrix = [
[1,0,1],
[1,1,0],
[1,1,0]
]
assert s.countSquares(matrix) == 7
See also:¶
https://leetcode.com/problems/count-square-submatrices-with-all-ones
https://www.lintcode.com/problem/count-square-submatrices-with-all-ones/description