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Groups > comp.programming > #14750
| From | Ben Bacarisse <ben.usenet@bsb.me.uk> |
|---|---|
| Newsgroups | comp.programming |
| Subject | Re: Partial shuffle |
| Date | 2022-03-27 17:48 +0100 |
| Organization | A noiseless patient Spider |
| Message-ID | <87wngf1gup.fsf@bsb.me.uk> (permalink) |
| References | <1a628830-6d23-42f9-b6b3-e0132ef3379fn@googlegroups.com> |
Malcolm McLean <malcolm.arthur.mclean@gmail.com> writes: > You have a list of candidates, ranked by score. You want to try them > out in order, with the better candidates being tried first. However > you don't want the process to be deterministic - each run should yield > a separate order. And you want even low-ranked candidates to have some > chance of being tried early. > > Is there a partial sort / partial shuffle which can achieve this? Let me check is I know what you mean. You have a list of words with scores 12 apple 10 cat 9 dog 8 egg 5 fox and you want a quasi-sort that might just (but very very rarely) produce 5 fox 8 egg 9 dog 10 cat 12 apple but will produce these orderings much more frequently: 12 apple 10 cat 10 cat 9 dog 9 dog 12 apple 10 cat 12 apple 8 egg 8 egg 8 egg 5 fox 5 fox 5 fox 9 dog ? First thought. Have a random field, r, that is chosen from a normal distribution prior to each sort. Then sort by score+r. By adjusting the distribution's parameters, you will get different probabilities of re-arrangement from almost none (with, say, mean=0, sdev=0.1) to chaotic when mean=1000 sdev=10000. -- Ben.
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Partial shuffle Malcolm McLean <malcolm.arthur.mclean@gmail.com> - 2022-03-26 15:28 -0700
Re: Partial shuffle Richard Heathfield <rjh@cpax.org.uk> - 2022-03-27 10:19 +0100
Re: Partial shuffle Ben Bacarisse <ben.usenet@bsb.me.uk> - 2022-03-27 17:48 +0100
Re: Partial shuffle Ben Bacarisse <ben.usenet@bsb.me.uk> - 2022-03-27 20:09 +0100
Re: Partial shuffle Malcolm McLean <malcolm.arthur.mclean@gmail.com> - 2022-03-27 12:19 -0700
Re: Partial shuffle Paul N <gw7rib@aol.com> - 2022-03-28 14:12 -0700
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