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) 所描述的子矩阵的元素 总和 。
输入:
["NumMatrix","sumRegion","sumRegion","sumRegion"]
[[[[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]]
输出:
[null, 8, 11, 12]
解释:
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]]);
numMatrix.sumRegion(2, 1, 4, 3); // return 8 (红色矩形框的元素总和)
numMatrix.sumRegion(1, 1, 2, 2); // return 11 (绿色矩形框的元素总和)
numMatrix.sumRegion(1, 2, 2, 4); // return 12 (蓝色矩形框的元素总和)
- 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 104 次 sumRegion 方法
struct NumMatrix {
sum: Vec<Vec<i32>>,
}
impl NumMatrix {
fn new(matrix: Vec<Vec<i32>>) -> Self {
let n = matrix.len();
let m = matrix[0].len();
let mut sum = vec![vec![0;m+1];n+1];
for i in 0..n {
for j in 0..m {
sum[i+1][j+1] = sum[i+1][j] + sum[i][j+1] - sum[i][j] + matrix[i][j];
}
}
Self {
sum,
}
}
fn sum_region(&self, row1: i32, col1: i32, row2: i32, col2: i32) -> i32 {
let r1 = row1 as usize;
let r2 = row2 as usize;
let c1 = col1 as usize;
let c2 = col2 as usize;
let sum = &self.sum;
sum[r2+1][c2+1] - sum[r2+1][c1] - sum[r1][c2+1] + sum[r1][c1]
}
}