22. Number of Paths
The problem can be found at the following link: Question Link
My Approach
The problem statement implies that this question is simple DP, but due to the constraints, it requires a highly optimized solution, which is not intuitive. At first, I also did not get the answer. But through internet get help to find a solution.
To solve this problem, I used a combination formula to calculate the number of paths from the top-left corner to the bottom-right corner of an MxN grid.
I start iteration through the rows of the grid, and for each row, I calculate the binomial coefficient (n choose k), where n is the sum of the row and column indices, and k is the row index. I used modular arithmetic to handle large numbers.
Time and Auxiliary Space Complexity
Time Complexity:
O(M)
, whereM
andN
are the dimensions of the grid.Auxiliary Space Complexity:
O(1)
. We only use a constant amount of extra space.
Code (C++)
class Solution {
public:
int mod = 1e9 + 7;
long long modInv(long long a, long long b) {
return 1 < a ? b - modInv(b % a, a) * b / a : 1;
}
long long numberOfPaths(int m, int n) {
long long out = 1;
for (int i = 0; i < m - 1; i++) {
long long inverse = modInv(i + 1, mod);
out = (out * (i + n)) % mod;
out = (out * inverse) % mod;
}
return out;
}
};
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