LeetCode Maximal Square
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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 01 0 1 1 11 1 1 1 11 0 0 1 0
Return 4.
思路分析:这题考察DP,缓存中间结果减少重复计算,DP方程为
if(matrix[i][j] != 0) dp[i,j] = min{dp[i-1,j], dp[i,j-1], dp[i-1,j-1]} + 1; else dp[i,j] = 0
其中dp[i,j]表示以[i,j]为右下角的区域内的最大的正方形的边长,最后返回dp数组中最大值的平方即为所求。
AC Code
public class Solution { public int maximalSquare(char[][] matrix) { //dp equation: if(matrix[i][j] != 0) dp[i,j] = min{dp[i-1,j], dp[i,j-1], dp[i-1,j-1]} + 1; else dp[i,j] = 0 int m = matrix.length; if(m == 0) return 0; int n = matrix[0].length; //1227 int [][] dp = new int[m][n]; int max = 0; for(int i = 0; i < m; i++){ if(matrix[i][0] == '1') { dp[i][0] = 1; max = Math.max(max, dp[i][0]); } } for(int j = 0; j < n; j++){ if(matrix[0][j] == '1') { dp[0][j] = 1; max = Math.max(max, dp[0][j]); } } for(int i = 1; i < m; i++){ for(int j = 1; j < n; j++){ if(matrix[i][j] == '1'){ dp[i][j] = Math.min(Math.min(dp[i-1][j], dp[i][j-1]), dp[i-1][j-1]) + 1; max = Math.max(max, dp[i][j]); } else { dp[i][j] = 0; } } } return max * max; } //1234}
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