Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right which minimizes the sum of all numbers along its path.
Note: You can only move either down or right at any point in time.
DP问题,太简单了,不说了
public class Solution {
public int minPathSum(int[][] grid) {
int m = grid.length;
int n = grid[0].length;
int [][]dp = new int [m][n];
dp[0][0] = grid[0][0];
for(int i=1;i<m;i++){
dp[i][0] = grid[i][0]+dp[i-1][0];
}
for(int i=1;i<n;i++){
dp[0][i] = grid[0][i]+dp[0][i-1];
}
for(int i=1;i<m;i++){
for(int j=1;j<n;j++){
dp[i][j] = Math.min(dp[i-1][j],dp[i][j-1])+grid[i][j];
}
}
return dp[m-1][n-1];
}
}
本文介绍了一个经典的动态规划问题——给定一个m x n的非负整数网格,寻找从左上角到右下角的路径,使得路径上的数字之和最小。文中详细解释了解决该问题的算法实现。
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