Problem statement
You are given an m x n
integer array grid
. There is a robot initially located at the top-left corner (i.e., grid[0][0]
). The robot tries to move to the bottom-right corner (i.e., grid[m-1][n-1]
). The robot can only move either down or right at any point in time.
An obstacle and space are marked as 1
or 0
respectively in grid
. A path that the robot takes cannot include any square that is an obstacle.
Return the number of possible unique paths that the robot can take to reach the bottom-right corner.
The test cases are generated so that the answer will be less than or equal to 2 * 10^9
.
Example 1
Input: obstacleGrid = [[0,0,0],[0,1,0],[0,0,0]]
Output: 2
Explanation: There is one obstacle in the middle of the 3x3 grid above.
There are two ways to reach the bottom-right corner:
1. Right -> Right -> Down -> Down
2. Down -> Down -> Right -> Right
Example 2
Input: obstacleGrid = [[0,1],[0,0]]
Output: 1
Constraints
m == obstacleGrid.length
.n == obstacleGrid[i].length
.1 <= m, n <= 100
.obstacleGrid[i][j]
is0
or1
.
Solution: Dynamic programming in place
Let us find the relationship between the positions.
If there is no obstacle at position (row = i, col = j)
, the number of paths np[i][j]
that the robot can take to reach this position is:
np[i][j] = np[i - 1][j] + np[i][j - 1]
As long as there is no obstacle in the first row,
np[0][j] = 1
. Otherwise,np[0][k] = 0
for allk >= j0
, where(0, j0)
is the position of the first obstacle in the first row.Similarly, as long as there is no obstacle in the first column,
np[i][0] = 1
. Otherwise,np[k][0] = 0
for allk >= i0
, where(i0, 0)
is the position of the first obstacle in the first column.
Code
#include <vector>
#include <iostream>
using namespace std;
int uniquePathsWithObstacles(vector<vector<int>>& obstacleGrid) {
const int row = obstacleGrid.size();
const int col = obstacleGrid[0].size();
vector<vector<int>> np(row, vector<int>(col, 0));
for (int i = 0; i < row && obstacleGrid[i][0] == 0; i++) {
np[i][0] = 1;
}
for (int j = 0; j < col && obstacleGrid[0][j] == 0; j++) {
np[0][j] = 1;
}
for (int i = 1; i < row; i++) {
for (int j = 1; j < col; j++) {
if (obstacleGrid[i][j] == 0) {
np[i][j] = np[i - 1][j] + np[i][j - 1];
}
}
}
return np[row - 1][col - 1];
}
int main() {
vector<vector<int>> obstacleGrid = {{0,0,0},{0,1,0},{0,0,0}};
cout << uniquePathsWithObstacles(obstacleGrid) << endl;
obstacleGrid = {{0,1},{0,0}};
cout << uniquePathsWithObstacles(obstacleGrid) << endl;
}
Output:
2
1
Complexity
Runtime:
O(m*n)
, wherem x n
is the size of thegrid
.Extra space:
O(m*n)
.