描述

给定一个二维矩阵 matrix,以下类型的多个请求:

  • 计算其子矩形范围内元素的总和,该子矩阵的左上角为 (row1, col1) ,右下角为 (row2, col2)

实现 NumMatrix 类:

  • NumMatrix(int[][] matrix) 给定整数矩阵 matrix 进行初始化
  • int sumRegion(int row1, int col1, int row2, int col2) 返回左上角 (row1, col1) 、右下角 (row2, col2) 的子矩阵的元素总和。

示例

示例 1:
1626332422-wUpUHT-image.png

  1. 输入:
  2. ["NumMatrix","sumRegion","sumRegion","sumRegion"]
  3. [[[[3,0,1,4,2],[5,6,3,2,1],[1,2,0,1,5],[4,1,0,1,7],[1,0,3,0,5]]],[2,1,4,3],[1,1,2,2],[1,2,2,4]]
  4. 输出:
  5. [null, 8, 11, 12]
  6. 解释:
  7. NumMatrix numMatrix = new NumMatrix([[3,0,1,4,2],[5,6,3,2,1],[1,2,0,1,5],[4,1,0,1,7],[1,0,3,0,5]]]);
  8. numMatrix.sumRegion(2, 1, 4, 3); // return 8 (红色矩形框的元素总和)
  9. numMatrix.sumRegion(1, 1, 2, 2); // return 11 (绿色矩形框的元素总和)
  10. numMatrix.sumRegion(1, 2, 2, 4); // return 12 (蓝色矩形框的元素总和)

提示

  • m == matrix.length
  • n == matrix[i].length
  • 1 <= m, n <= 200
  • -105 <= matrix[i][j] <= 105
  • 0 <= row1 <= row2 < m
  • 0 <= col1 <= col2 < n
  • 最多调用 104sumRegion 方法

解题思路

方法一:一维前缀和

  • 对二维矩阵 matrix的每一行求前缀和,生成一个二维数组,在求矩阵(int row1, int col1, int row2, int col2)的和,对row1行到row2行分别求和,最后再加起来。

    代码

    ```java class NumMatrix { private int[][] twoSum; public NumMatrix(int[][] matrix) {

      int m = matrix.length;
      int n = matrix[0].length;
      twoSum = new int[m][n + 1]; // 多一列出来,第一列全为0,是为了防溢出
      for (int i = 0; i < m; i++) {
          for (int j = 1; j <= n; j++) {
              twoSum[i][j] = twoSum[i][j - 1] + matrix[i][j - 1]; 
          }
      }
    

    }

    public int sumRegion(int row1, int col1, int row2, int col2) {

      int res = 0;
      for (int i = row1; i <= row2; i++) {
          res += twoSum[i][col2 + 1] - twoSum[i][col1];
      }
      return res;
    

    } }

/**

  • Your NumMatrix object will be instantiated and called as such:
  • NumMatrix obj = new NumMatrix(matrix);
  • int param_1 = obj.sumRegion(row1,col1,row2,col2); */ ```

    方法二:二维前缀和

  • 与一维前缀和不同的是,前缀和数组中记录的不再是原数组每一行的前缀和,而是从 i=0 行,j = 0 列到当前位置的所有元素之和。

  • 初始化二维前缀和时有:

1 (1).png
twoSum[i][j] = twoSum[i - 1][j] + twoSum[i][j - 1] - twoSum[i - 1][j - 1] + matrix[i - 1][j - 1];

  • 计算图中某个矩阵的元素之和时:

1614650906-cznQhe-image.png

注意:二维前缀和数组的第一行和第一列全为0,所以 twoSum[i][j] 实际对应的应该是 matrix[i - 1][j - 1] 的前缀和

代码

class NumMatrix {
    private int[][] twoSum;
    public NumMatrix(int[][] matrix) {
        int m = matrix.length;
        int n = matrix[0].length;
        twoSum = new int[m + 1][n + 1];
        for (int i = 1; i <= m; i++) {
            for (int j = 1; j <= n; j++) {
                twoSum[i][j] = twoSum[i - 1][j] + twoSum[i][j - 1] - twoSum[i - 1][j - 1] + matrix[i - 1][j - 1];
            }
        }
    }

    public int sumRegion(int row1, int col1, int row2, int col2) {
        return twoSum[row2 + 1][col2 + 1] - twoSum[row1][col2 + 1] - twoSum[row2 + 1][col1] + twoSum[row1][col1];
    }
}

/**
 * Your NumMatrix object will be instantiated and called as such:
 * NumMatrix obj = new NumMatrix(matrix);
 * int param_1 = obj.sumRegion(row1,col1,row2,col2);
 */