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.
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class Solution {
public:
int uniquePathsWithObstacles(vector<vector<int>>& obstacleGrid) {
int m = obstacleGrid.size(), n = 0;
if(m == 0) return 0;
n = obstacleGrid[0].size();
vector<vector<int> > matrix(m, vector<int>(n, 0));
if(obstacleGrid[0][0] == 0) matrix[0][0]=1;
for(int i = 1; i < m; i++) {
if(obstacleGrid[i][0])
matrix[i][0] = 0;
else
matrix[i][0]=matrix[i-1][0];
}
for(int i = 1; i < n; i++) {
if(obstacleGrid[0][i])
matrix[0][i]=0;
else
matrix[0][i]=matrix[0][i-1];
}
for(int i=1; i < m; i++) {
for(int j=1; j < n; j++) {
if(obstacleGrid[i][j]) matrix[i][j] = 0;
else
matrix[i][j] = matrix[i][j-1]+matrix[i-1][j];
}
}
return matrix[m-1][n-1];
}
};
独特路径障碍挑战
本文探讨了在网格中寻找从起点到终点的独特路径数量问题,并在此基础上增加了障碍物元素。通过动态规划的方法,解决如何计算存在障碍物时的独特路径数量。
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