Unique Paths II
2013-08-01 16:22
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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
For example,
There is one obstacle in the middle of a 3x3 grid as illustrated below.
The total number of unique paths is
Note: m and n will be at most 100.
方法一:与I一样,动态规划。
28 milli secs
时间复杂度O(n^2),空间O(n^2),但在这道题中没有extra space
另一种写法:
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
1and
0respectively 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.
方法一:与I一样,动态规划。
class Solution { public: int uniquePathsWithObstacles(vector<vector<int> > &obstacleGrid) { // Start typing your C/C++ solution below // DO NOT write int main() function int n = obstacleGrid.size(); int m = obstacleGrid[0].size(); if(obstacleGrid[0][0] == 1 || obstacleGrid[n-1][m-1] == 1) return 0; obstacleGrid[0][0] = 1; for(int i = 1;i<n;i++) { obstacleGrid[i][0] = (obstacleGrid[i][0] == 0)?obstacleGrid[i-1][0]:0; } for(int i = 1;i<m;i++) { obstacleGrid[0][i] = (obstacleGrid[0][i] == 0)?obstacleGrid[0][i-1]:0; } for(int i = 1;i<n;i++) { for(int j = 1;j < m;j++) { obstacleGrid[i][j] = (obstacleGrid[i][j] == 0)?(obstacleGrid[i-1][j] + obstacleGrid[i][j-1]):0; } } return obstacleGrid[n-1][m-1]; } };
28 milli secs
时间复杂度O(n^2),空间O(n^2),但在这道题中没有extra space
另一种写法:
class Solution { public: int uniquePathsWithObstacles(vector<vector<int> > &obstacleGrid) { // Start typing your C/C++ solution below // DO NOT write int main() function int n = obstacleGrid.size(); int m = obstacleGrid[0].size(); if(obstacleGrid[0][0] == 1 || obstacleGrid[n-1][m-1] == 1) return 0; vector<int> dp(m+1,0); int j = m-1; while(j>=0 && obstacleGrid[n-1][j] == 0) dp[j--] = 1; j = n-1; while(--j >= 0) { for(int k = m-1;k>=0;k--) dp[k] = (obstacleGrid[j][k] == 0)?dp[k] + dp[k+1]:0; } return dp[0]; } };20 milli secs
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