Hi,
How can I find the sum of digits in a factorial of a number N, where N can be in range [1, 2000]? Can it be done without resorting to BigNum libraries?
# | User | Rating |
---|---|---|
1 | jiangly | 3898 |
2 | tourist | 3840 |
3 | orzdevinwang | 3706 |
4 | ksun48 | 3691 |
5 | jqdai0815 | 3682 |
6 | ecnerwala | 3525 |
7 | gamegame | 3477 |
8 | Benq | 3468 |
9 | Ormlis | 3381 |
10 | maroonrk | 3379 |
# | User | Contrib. |
---|---|---|
1 | cry | 167 |
2 | -is-this-fft- | 165 |
3 | Dominater069 | 161 |
4 | atcoder_official | 160 |
5 | Um_nik | 159 |
6 | djm03178 | 156 |
7 | adamant | 153 |
8 | luogu_official | 151 |
9 | awoo | 149 |
10 | TheScrasse | 146 |
Name |
---|
Think of logarithms.
Can you please elaborate. I am looking for a Log(N) complexity. The algorithm given below by sbakic uses string multiplication, which won't be Log(N).
-deleted-
Why did you delete your answer? I think it can actually work: if we know the number D of digits of the factorial F = N! and its log L = log(F), we can do some binary search in the factorial digits since log(x) is unique. For example, to find the most significant digit of the factorial we will try every 0 ≤ i ≤ 9; when we know that the most significant digit is i - 1. After that, we store the "current log" and do it again for the second most significant digit and for the third and so on... Overall complexity would be .
This is the algorithm for factorial of a number. Next step is trivial.
You're using a bignum library...
Can you give problem link, please?