Maximum rectangle java

Given a two-dimensional binary matrix containing only 0 and 1 and size rows x cols, find the largest rectangle containing only 1 and return its area.

Example 1:

Input: matrix = [["1","0","1","0","0"],["1","0","1","1","1"],[ "1","1","1","1","1"],["1","0","0","1","0"]]
Output: 6
Explanation: Maximum rectangle As shown in FIG.
Example 2:

Input: matrix = []
Output: 0
Example 3:

Input: matrix = [["0"]]
Output: 0
Example 4:

Input: matrix = [["1"]]
Output: 1
Example 5:

Input: matrix = [["0","0"]]
Output: 0

prompt:

rows == matrix.length
cols == matrix[0].length
0 <= row, cols <= 200
matrix[i][j] 为 ‘0’ 或 ‘1’

Source: LeetCode
Link: https://leetcode-cn.com/problems/maximal-rectangle
Copyright is owned by LeetCode . For commercial reprints, please contact the official authorization. For non-commercial reprints, please indicate the source.

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];
        //这题就是在柱状图中的最大矩形(上一篇博客)上暴力求结果

        //获得高
        for (int i = 0; i < m; i++) {
    
    
            for (int j = 0; j < n; j++) {
    
    
                if (matrix[i][j] == '1') {
    
    
                    //最后面有个+1!!!!!!!!!!!!!!!!!
                    left[i][j] = (j == 0 ? 0 : left[i][j - 1]) + 1;
                }
            }
        }
        int ret = 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);
                }
                ret = Math.max(ret, area);
            }
        }
        return ret;
    }
}

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Origin blog.csdn.net/weixin_43824233/article/details/111757454