What is the most efficient algorithm or approach for finding most frequent k-length sub-string from a given string?
# | User | Rating |
---|---|---|
1 | tourist | 3993 |
2 | jiangly | 3743 |
3 | orzdevinwang | 3707 |
4 | Radewoosh | 3627 |
5 | jqdai0815 | 3620 |
6 | Benq | 3564 |
7 | Kevin114514 | 3443 |
8 | ksun48 | 3434 |
9 | Rewinding | 3397 |
10 | Um_nik | 3396 |
# | User | Contrib. |
---|---|---|
1 | cry | 167 |
2 | Um_nik | 163 |
3 | maomao90 | 162 |
3 | atcoder_official | 162 |
5 | adamant | 159 |
6 | -is-this-fft- | 158 |
7 | awoo | 155 |
8 | TheScrasse | 154 |
9 | Dominater069 | 153 |
10 | djm03178 | 152 |
What is the most efficient algorithm or approach for finding most frequent k-length sub-string from a given string?
Name |
---|
Hash all substrings of length K in O(N) and store this values in map O(NlogN)
It would be O(NKlogN)
If you implement rolling hashes it would be O(N*logN).
hash(s1..k) = (hash(s0..k - 1) - s0 * pk) * p + sk
by this relation hash values can calculate in O(1)