Number of Submatrices That Sum to Target — LeetCode 1074 Python Solution
HardArrayHash TableMatrixPrefix Sum
- Problem
- #1074
- Pattern
- Prefix Sum
- Reading time
- 4 min
- Source
- leetcode.com
The problem
Given a matrix and a target, return the number of non-empty submatrices that sum to target. A submatrix x1, y1, x2, y2 is the set of all cells matrix[x][y] with x1 <= x <= x2 and y1 <= y <= y2.
Example
- Input
- matrix = [[0,1,0],[1,1,1],[0,1,0]], target = 0
- Output
- 4
- Explanation
- The four 1x1 submatrices that only contain 0.
Python solution
Python
class Solution:
def numSubmatrixSumTarget(self, matrix: List[List[int]], target: int) -> int:
def f(nums: List[int]) -> int:
d = defaultdict(int)
d[0] = 1
cnt = s = 0
for x in nums:
s += x
cnt += d[s - target]
d[s] += 1
return cnt
m, n = len(matrix), len(matrix[0])
ans = 0
for i in range(m):
col = [0] * n
for j in range(i, m):
for k in range(n):
col[k] += matrix[j][k]
ans += f(col)
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n) |
| Space | O(n) auxiliary |
Pattern: Prefix Sum
Precompute running totals once so any range query becomes a single subtraction. LeetCode 1074. Number of Submatrices That Sum to Target is filed here because LeetCode tags it Prefix Sum, which is the vocabulary this hub collects.
The prefix sum guide has the Python template for the pattern and the 157 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 1074. Number of Submatrices That Sum to Target?
- LeetCode 1074. Number of Submatrices That Sum to Target is rated Hard on LeetCode.
- What is the time complexity of LeetCode 1074. Number of Submatrices That Sum to Target?
- The Python solution on this page runs in O(n).
- What is the space complexity of LeetCode 1074. Number of Submatrices That Sum to Target?
- The Python solution on this page uses O(n) auxiliary space.
- What topics does LeetCode 1074. Number of Submatrices That Sum to Target cover?
- LeetCode 1074. Number of Submatrices That Sum to Target is tagged Array, Hash Table, Matrix and Prefix Sum on LeetCode.