LeetCode 1504. Count Submatrices With All Ones Solution in Java, C++, Python & More | Explanation + Code

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1504. Count Submatrices With All Ones

Description

Given an m x n binary matrix mat, return the number of submatrices that have all ones.

 

Example 1:

Input: mat = [[1,0,1],[1,1,0],[1,1,0]]
Output: 13
Explanation: 
There are 6 rectangles of side 1x1.
There are 2 rectangles of side 1x2.
There are 3 rectangles of side 2x1.
There is 1 rectangle of side 2x2. 
There is 1 rectangle of side 3x1.
Total number of rectangles = 6 + 2 + 3 + 1 + 1 = 13.

Example 2:

Input: mat = [[0,1,1,0],[0,1,1,1],[1,1,1,0]]
Output: 24
Explanation: 
There are 8 rectangles of side 1x1.
There are 5 rectangles of side 1x2.
There are 2 rectangles of side 1x3. 
There are 4 rectangles of side 2x1.
There are 2 rectangles of side 2x2. 
There are 2 rectangles of side 3x1. 
There is 1 rectangle of side 3x2. 
Total number of rectangles = 8 + 5 + 2 + 4 + 2 + 2 + 1 = 24.

 

Constraints:

  • 1 <= m, n <= 150
  • mat[i][j] is either 0 or 1.

Solutions

Solution 1: Enumeration + Prefix Sum

We can enumerate the bottom-right corner (i, j) of the matrix, and then enumerate the first row k upwards. The width of the matrix with (i, j) as the bottom-right corner in each row is min_{k ≤ i} g[k][j], where g[k][j] represents the width of the matrix with (k, j) as the bottom-right corner in the k-th row.

Therefore, we can preprocess a 2D array g[i][j], where g[i][j] represents the number of consecutive 1s from the j-th column to the left in the i-th row.

The time complexity is O(m2 × n), and the space complexity is O(m × n). Here, m and n are the number of rows and columns of the matrix, respectively.

PythonJavaC++GoTypeScriptRustJavaScript
class Solution: def numSubmat(self, mat: List[List[int]]) -> int: m, n = len(mat), len(mat[0]) g = [[0] * n for _ in range(m)] for i in range(m): for j in range(n): if mat[i][j]: g[i][j] = 1 if j == 0 else 1 + g[i][j - 1] ans = 0 for i in range(m): for j in range(n): col = inf for k in range(i, -1, -1): col = min(col, g[k][j]) ans += col return ans(code-box)

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