Follow up for "Unique Paths":
Now consider if some obstacles are added to the grids. How many unique paths would there be?
An obstacle and empty space is marked as 1 and 0 respectively
in the grid.
For example,
There is one obstacle in the middle of a 3x3 grid as illustrated below.
[ [0,0,0], [0,1,0], [0,0,0] ]
The total number of unique paths is 2.
Note: m and n will be at most 100.
Accept: 2ms, 动态规划
int dp[100][100];
int uniquePathsWithObstacles(int **obstacleGrid, int m, int n){
if (obstacleGrid[m-1][n-1] == 1 || obstacleGrid[0][0] == 1) {
return 0;
}
for (int i = m - 1; i >= 0; --i) {
for (int j = n - 1; j >= 0; --j) {
if (i == m - 1 && j == n - 1) {
dp[i][j] = 1;
continue;
}
dp[i][j] = 0;
if (i < m - 1 && obstacleGrid[i + 1][j] == 0) {
dp[i][j] += dp[i + 1][j];
}
if (j < n - 1 && obstacleGrid[i][j + 1] == 0) {
dp[i][j] += dp[i][j + 1];
}
}
}
return dp[0][0];
}
本文探讨了一个3x3网格中存在障碍物的情况下,从左上角到右下角的不同路径数量计算问题。通过动态规划的方法,文章提供了一种高效的解决方案,并给出具体实现代码。
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