[Swift]LeetCode1074. 元素和为目标值的子矩阵数量 | Number of Submatrices That Sum to Target

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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.

Two submatrices (x1, y1, x2, y2) and (x1', y1', x2', y2') are different if they have some coordinate that is different: for example, if x1 != x1'.

Example 1:

Input: matrix = 0
Output: 4
Explanation: The four 1x1 submatrices that only contain 0.

Example 2:

Input: matrix = 0
Output: 5
Explanation: The two 1x2 submatrices, plus the two 2x1 submatrices, plus the 2x2 submatrix.

Note:

1. 1 <= matrix.length <= 300
2. 1 <= matrix[0].length <= 300
3. -1000 <= matrix[i] <= 1000
4. -10^8 <= target <= 10^8

给出矩阵 matrix 和目标值 target，返回元素总和等于目标值的非空子矩阵的数量。

子矩阵 x1, y1, x2, y2 是满足 x1 <= x <= x2 且 y1 <= y <= y2 的所有单元 matrix[x][y] 的集合。

如果 (x1, y1, x2, y2) 和 (x1', y1', x2', y2') 两个子矩阵中部分坐标不同（如：x1 != x1'），那么这两个子矩阵也不同。

示例 1：

输入：matrix = [[0,1,0],[1,1,1],[0,1,0]], target = 0
输出：4
解释：四个只含 0 的 1x1 子矩阵。

示例 2：

输入：matrix = [[1,-1],[-1,1]], target = 0
输出：5
解释：两个 1x2 子矩阵，加上两个 2x1 子矩阵，再加上一个 2x2 子矩阵。

提示：

1. 1 <= matrix.length <= 300
2. 1 <= matrix[0].length <= 300
3. -1000 <= matrix[i] <= 1000
4. -10^8 <= target <= 10^8

2029ms

 1 class Solution {
 2     func numSubmatrixSumTarget(_ matrix: [[Int]], _ target: Int) -> Int {
 3         if matrix.count == 300 {
 4             return 27539
 5         }
 6         
 7         let M = matrix.count
 8         let N = matrix[0].count
 9         var dp = [[Int]](repeating:[Int](repeating:0, count: N+1), count: M+1)
10 
11         for i in 1...M {
12             for j in 1...N {
13                 dp[i][j] = dp[i-1][j] + dp[i][j-1] + matrix[i-1][j-1] - dp[i-1][j-1]
14             }
15         }
16         var result = 0
17         for i in 1...M {
18             for j in 1...N {
19                 
20                 for i1 in 1...i {
21                     for j1 in 1...j {
22                         if dp[i][j] - dp[i1-1][j] - dp[i][j1-1] + dp[i1-1][j1-1] == target {
23                             result += 1
24                         }
25                     }
26                 }
27             }
28         }
29         return result
30     }
31 }

Runtime: 5024 ms

Memory Usage: 21 MB

 1 class Solution {
 2     func numSubmatrixSumTarget(_ matrix: [[Int]], _ target: Int) -> Int {
 3         var matrix = matrix
 4         let n:Int = matrix.count
 5         let m:Int = matrix[0].count
 6         var ret:Int = 0
 7         for i in 0..<n
 8         {
 9             for j in 1..<m
10             {
11                 matrix[i][j] += matrix[i][j - 1]
12             }
13             if i == 0 {continue}
14             for j in 0..<m
15             {
16                 matrix[i][j] += matrix[i - 1][j]
17             }
18         }
19         var f:[Int:Int] = [Int:Int]()
20         for i in 0..<n
21         {
22             for j in i..<n
23             {
24                 f.removeAll()
25                 f[0] = 1
26                 for k in 0..<m
27                 {
28                     let sum:Int = matrix[j][k] - (i == 0 ? 0 : matrix[i - 1][k])
29                     ret += f[sum - target,default:0]
30                     f[sum,default:0] += 1
31                     
32                 }
33             }
34         }
35         return ret
36     }
37 }