【LeetCode】221. Maximal Square

Maximal Square

Given a 2D binary matrix filled with 0's and 1's, find the largest square containing all 1's and return its area.

For example, given the following matrix:

1 0 1 0 0
1 0 1 1 1
1 1 1 1 1
1 0 0 1 0

Return 4.

Credits:
Special thanks to @Freezen for adding this problem and creating all test cases.

这题的DP思想部分借鉴了jianchao.li.fighter。

思路如下：构建二维数组len，len[i][j]表示以(i,j)为右下角的最大方块的边长。

递推关系为 len[i][j] = min(min(len[i-1][j], len[i][j-1]), len[i-1][j-1]) + 1;

如下图示意：

以(i,j)为右下角的最大方块边长，取决于周围三个位置(i-1,j),(i,j-1),(i-1,j-1)，恰好为三者最小边长扩展1位。

若三者最小边长为0，那么(i,j)自成边长为1的方块。

class Solution {
public:
    int maximalSquare(vector<vector<char>>& matrix) {
        if(matrix.empty() || matrix[].empty())
            return ;
        int m = matrix.size();
        int n = matrix[].size();
        int maxLen = ;
        vector<vector<int> > len(m, vector<int>(n, ));
        // first row
        for(int i = ; i < n; i ++)
        {
            len[][i] = (int)(matrix[][i]-'');
            if(len[][i] == )
                maxLen = ;
        }
        // first col
        for(int i = ; i < m; i ++)
        {
            len[i][] = (int)(matrix[i][]-'');
            if(len[i][] == )
                maxLen = ;
        }
        for(int i = ; i < m; i ++)
        {
            for(int j = ; j < n; j ++)
            {
                if(matrix[i][j] == '')
                    len[i][j] = ;
                else
                {
                    len[i][j] = min(min(len[i-][j], len[i][j-]), len[i-][j-]) + ;
                    maxLen = max(len[i][j], maxLen);
                }
            }
        }
        return maxLen * maxLen;
    }
};