第一个:
class Solution { public int minPathSum(int[][] m) { if(m==null||m.length==0||m[0]==null||m[0].length==0){ return 0; } int row=m.length; int col=m[0].length; int[][] dp=new int[row][col]; dp[0][0] = m[0][0]; for(int i=1;i<row;i++){ dp[i][0]=dp[i-1][0]+m[i][0]; } for(int i=1;i<col;i++){ dp[0][i]=dp[0][i-1]+m[0][i]; } for(int i=1;i<row;i++){ for(int j=1;j<row;j++){ dp[i][j] = Math.min(dp[i - 1][j], dp[i][j - 1]) + m[i][j]; } } return dp[row - 1][col - 1]; } }
第二种:把dp数组换成一维的
public int minPathSum(int[][] grid) { if(grid == null || grid.length == 0) { return 0; } int m = grid.length, n = grid[0].length; int[] dp = new int[n]; for(int i = 0; i < m; i++) { for(int j = 0; j < n; j++) { if(j == 0) { dp[j] = dp[j] + grid[i][j]; } else if (i == 0) { dp[j] = dp[j - 1] + grid[i][j]; } else { dp[j] = Math.min(dp[j], dp[j - 1]) + grid[i][j]; } } } return dp[n - 1]; }