How do I generate all the submasks for a given mask?
# | User | Rating |
---|---|---|
1 | tourist | 4009 |
2 | jiangly | 3823 |
3 | Benq | 3738 |
4 | Radewoosh | 3633 |
5 | jqdai0815 | 3620 |
6 | orzdevinwang | 3529 |
7 | ecnerwala | 3446 |
8 | Um_nik | 3396 |
9 | ksun48 | 3390 |
10 | gamegame | 3386 |
# | 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 | 157 |
8 | TheScrasse | 154 |
9 | Dominater069 | 153 |
9 | nor | 153 |
How do I generate all the submasks for a given mask?
Name |
---|
Auto comment: topic has been updated by skpro19 (previous revision, new revision, compare).
The easiest way I know is:
If you want 0 as a submask:
You have to know if we want to do something with the submasks of every mask till 2^N the time complexity will be O(3^N) not O(4^N).
Thanks man! It was really helpful.
Can somebody explain please, why is it 3^n ?
$$$3^n=\sum_{k=0}^{n} \binom{n}{k}2^k$$$ by binomial expansion. $$$2^k$$$ is number of submasks if we have $$$k$$$ ones. $$$\binom{n}{k}$$$ is number of masks with $$$k$$$ ones.
Oh, thanks. Ive just read it here https://cp-algorithms.com/algebra/all-submasks.html :)
Better way to think about it is, if you have N items, then each item being considered is either 1. not in the mask, 2. in the mask but not in the submask, 3. in the submask. So 3^N.
Time complexity = O(3^n) if we are generating all submasks for all 2^n numbers for the n bit number else for a particular number having k out of n bits set complexity is O(2^k)