版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/zy2317878/article/details/80945308
Description
Given a 2D binary matrix filled with 0's and 1's, find the largest square containing only 1's and return its area.
Example
Input:
1 0 1 0 0
1 0 1 1 1
1 1 1 1 1
1 0 0 1 0
Output: 4
Solution 1(C++)
class Solution {
public:
int maximalSquare(vector<vector<char>>& matrix) {
int m = matrix.size();
if (!m) return 0;
int n = matrix[0].size();
vector<vector<int> > size(m, vector<int>(n, 0));
int maxsize = 0;
for (int j = 0; j < n; j++) {
size[0][j] = matrix[0][j] - '0';
maxsize = max(maxsize, size[0][j]);
}
for (int i = 1; i < m; i++) {
size[i][0] = matrix[i][0] - '0';
maxsize = max(maxsize, size[i][0]);
}
for (int i = 1; i < m; i++) {
for (int j = 1; j < n; j++) {
if (matrix[i][j] == '1') {
size[i][j] = min(size[i - 1][j - 1], min(size[i - 1][j], size[i][j - 1])) + 1;
maxsize = max(maxsize, size[i][j]);
}
}
}
return maxsize * maxsize;
}
};
算法分析
这道题最关键的就是问题的转化,题目要求最大方阵的面积,直接来求还是蛮麻烦的。但是考虑到方阵的计算特性,我们可以转换为找到最大方阵的边长。
首先要注意,矩阵的元素是char类型,所以转化为int类型:matrix[i][j] - ‘0’;
构建动态规划数组,size[i][j]表示matrix[i][j]的最大边长。状态转移方程如下:
size[i][j] = min(size[i - 1][j - 1], min(size[i - 1][j], size[i][j - 1])) + 1;
程序分析
略。