Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]
Groups > comp.lang.python > #87014 > unrolled thread
| Started by | Dave Angel <davea@davea.name> |
|---|---|
| First post | 2015-03-06 06:22 -0500 |
| Last post | 2015-03-06 06:22 -0500 |
| Articles | 1 — 1 participant |
Back to article view | Back to comp.lang.python
This discussion starts older than the indexed window; earlier articles aren't shown. The article labeled Started by
below is the oldest one visible, not the original post.
Re: Speeding up permutations generation Dave Angel <davea@davea.name> - 2015-03-06 06:22 -0500
| From | Dave Angel <davea@davea.name> |
|---|---|
| Date | 2015-03-06 06:22 -0500 |
| Subject | Re: Speeding up permutations generation |
| Message-ID | <mailman.105.1425640973.21433.python-list@python.org> |
On 03/06/2015 05:32 AM, Gene Heskett wrote: > > > On Friday 06 March 2015 03:24:48 Abhiram R wrote: >>> A list of 100 elements has approximately 9.33 x 10**157 >>> permutations. If you could somehow generate one permutation every >>> yoctosecond, exhausting them would still take more than a hundred >>> orders of magnitude longer than the age of the universe. >>> -- >>> https://mail.python.org/mailman/listinfo/python-list >> >> True that :D I may have exaggerated on the number. Let's consider >> something more practically manageable => 50 elements with a 50! >> permutation. >> Is there a solution now? > > Yes, but its now only 8.881784197e+84 elements so it is still not a > practical target. Doing all elements of a matrix is generally equ to > n!, and 50 raised to the 50th power is still a number that will probably > use up this suns remaining lifetime doing it in assembly. Sorry, but 50! is not even close to 50**50. The latter is 85 digits as you say, but 50! is "only" 64. 30414093201713378043612608166064768844377641568960512000000000000L Still an enormous number of course, so an exhaustive visit to all those permutations is still impossible on a conventional computer. -- DaveA
Back to top | Article view | comp.lang.python
csiph-web