Unique Paths
A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below).
The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked 'Finish' in the diagram below).
How many possible unique paths are there?
Above is a 3 x 7 grid. How many possible unique paths are there?
Note: m and n will be at most 100.
解析:可利用動态規劃解題,假設目的地為(i,j),則可以通過(i-1,j)或者(i,j-1)到達,是以可得:dp[i][j] = dp[i-1][j] + dp[i][j-1]。時間複雜度為O(m*n),空間複雜度為O(m*n), 代碼如下:
class Solution {
public:
int uniquePaths(int m, int n) {
int dp[m][n];
for(int i=0; i<m; i++) dp[i][0] = 1;
for(int i=0; i<n; i++) dp[0][i] = 1;
for(int i=1; i<m; i++)
for(int j=1; j<n; j++)
dp[i][j] = dp[i-1][j] + dp[i][j-1];
return dp[m-1][n-1];
}
};
Unique Paths II
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
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.
解析:加入障礙之後,顯然若格子(i,j)為障礙,則dp[i][j] = 0,此外初始化時進行處理即可,其餘與Unique Paths類似。時間複雜度為O(m*n),空間複雜度為O(m*n),代碼如下:
class Solution {
public:
int uniquePathsWithObstacles(vector<vector<int> >& obstacleGrid) {
int m = obstacleGrid.size(), n = obstacleGrid[0].size(), dp[m][n];
int i = 0, j = 0;
for(i=0; i<m && obstacleGrid[i][0]!=1; i++) dp[i][0] = 1;
for(; i<m; i++) dp[i][0] = 0;
for(j=0; j<n && obstacleGrid[0][j]!=1; j++) dp[0][j] = 1;
for(; j<n; j++) dp[0][j] = 0;
for(i=1; i<m; i++)
for(j=1; j<n; j++)
{
if(obstacleGrid[i][j] == 1) dp[i][j] = 0;
else dp[i][j] = dp[i-1][j] + dp[i][j-1];
}
return dp[m-1][n-1];
}
};