There is a robot on an m x n grid. The robot is 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.
Given the two integers m and n, 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 * 109.
Example 1:

Input: m = 3, n = 7
Output: 28
Example 2:
Input: m = 3, n = 2
Output: 3
Explanation: From the top-left corner, there are a total of 3 ways to reach the bottom-right corner:
- Right -> Down -> Down
- Down -> Down -> Right
- Down -> Right -> Down
Constraints:
1 <= m, n <= 100
Approach - DP
- check this once
- Time & Space Complexity
Time complexity: O(m∗n)
Space complexity: O(n)
class Solution {
public int uniquePaths(int m, int n) {
int[] dp = new int[n];
Arrays.fill(dp,1);
for (int i = m - 2; i >= 0; i--) {
for (int j = n - 2; j >= 0; j--) {
dp[j] += dp[j+1];
}
}
return dp[0];
}
}Approach - Recursion
- The idea is the end goal would be 1 then we keep adding to right and bottom ad we are using dfs and anything out of bounds would be 0
- Time & Space Complexity
Time complexity: O(2^(m+n))
Space complexity: O(m+n)
class Solution {
public int uniquePaths(int m, int n) {
return dfs(0,0,m,n);
}
int dfs(int i, int j, int m, int n) {
if ((i == m - 1) && (j == n - 1))
return 1;
if (i >= m || j >= n)
return 0;
return dfs(i+1,j,m,n) + dfs(i,j+1,m,n);
}
}