给定一个仅包含 0 和 1 、大小为 rows x cols 的二维二进制矩阵,找出只包含 1 的最大矩形,并返回其面积。
示例 1:
输入: matrix = [["1","0","1","0","0"],["1","0","1","1","1"],["1","1","1","1","1"],["1","0","0","1","0"]]
输出: 6
解释: 最大矩形如上图所示。
示例 2:
输入: matrix = []
输出: 0
示例 3:
输入: matrix = [["0"]]
输出: 0
示例 4:
输入: matrix = [["1"]]
输出: 1
示例 5:
输入: matrix = [["0","0"]]
输出: 0
提示:
rows == matrix.lengthcols == matrix[0].length1 <= row, cols <= 200matrix[i][j]为'0'或'1'
题解
思路:暴力破解
1.定义一个二维数组,记录i行i列元素左边连续为1的数量
2.遍历二维数组,计算面积(关键在于:从下往上计算)
时间复杂度:O((m^2)n) 空间复杂度:O(mn)
class Solution {
public int maximalRectangle(char[][] matrix) {
int m = matrix.length;
if (m == 0) {
return 0;
}
int n = matrix[0].length;
int[][] left = new int[m][n];
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
if (matrix[i][j] == '1') {
left[i][j] = (j == 0 ? 0 : left[i][j - 1]) + 1;
}
}
}
int res = 0;
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
if (matrix[i][j] == '0') {
continue;
}
int width = left[i][j];
int area = width;
for (int k = i - 1; k >= 0; k--) {
width = Math.min(width, left[k][j]);
area = Math.max(area, (i - k + 1) * width);
}
res = Math.max(res, area);
}
}
return res;
}
}