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#23 | |
(loop (#_fork))
Feb 2006
Cambridge, England
193616 Posts |
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Code:
23847813234751095518553790092375554156554053397317779773831395300907022889988067196688707035368393323174109573706580716877436977083912429179428455659750299481884888866554791173 If that's too big, Code:
86026587992252713187749194939696412639941777372908947403799022828963200928303537489025731813345034713461276262988371957157619420275286481805832459392273827 would also be of interest |
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#24 |
"Vincent"
Apr 2010
Over the rainbow
1011010001002 Posts |
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I'll give a nudge to the 176. I'll report back in few hours -no garantee of a good poly-.
Last fiddled with by firejuggler on 2013-07-13 at 19:02 |
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#25 |
I moo ablest echo power!
May 2013
22×463 Posts |
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I'll take a whack at the 176 as well.
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#26 |
"Curtis"
Feb 2005
Riverside, CA
22·3·7·67 Posts |
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Big is good- if I have the sieve-time estimates correct, all three of us can spend a few days on this number productively.
I'll start at 23.5M. |
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#27 |
"Vincent"
Apr 2010
Over the rainbow
22·7·103 Posts |
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What range do you recommand? 8M? or above, 40M?
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#28 |
I moo ablest echo power!
May 2013
73C16 Posts |
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I'm running 100M+ (polydegree 5).
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#29 |
"Curtis"
Feb 2005
Riverside, CA
22·3·7·67 Posts |
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I think anything 10M+ will have skew roughly similar. Even though overlapping ranges only duplicates a little bit of work, it's easy enough to search different ranges.
We can report our typical skews for the lists of decent polys to make sure 20m, 100m, and whatever you choose really are similar. |
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#30 |
I moo ablest echo power!
May 2013
22·463 Posts |
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Sounds like a good idea. It'd be nice to know how the skew varies (or doesn't) for given ranges. Here's my first one so far--it's a fair bit under the expected range:
Code:
expecting poly E from 1.46e-013 to > 1.68e-013 R0: -2988691192272804298611698595599499 R1: 237161778113747539 A0: 32731363407803097195252649322319485122428800 A1: 3923946321852883713926555500462761080 A2: -1172068129952158854846849214634 A3: -65955053275793992651415 A4: 8394258833127276 A5: 100009980 skew 13540340.13, size 2.166e-017, alpha -8.427, combined = 1.085e-013 rroots = 5 Code:
polynomial selection complete R0: -2988105935112559387239257538404549 R1: 262138118976309551 A0: -1684154512885205386857910460902575111600 A1: -40913519008928283606564309026397940 A2: 42965292076801711799985554792 A3: 3340385908071805886631 A4: -682953059486718 A5: 100107960 skew 4054135.37, size 2.263e-017, alpha -6.468, combined = 1.142e-013 rroots = 3 Last fiddled with by wombatman on 2013-07-14 at 01:50 |
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#31 |
"Curtis"
Feb 2005
Riverside, CA
22·3·7·67 Posts |
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Skews for coeff = 23M are 7-12M for alphas in the 6's, 11 to 16M for alpha over 7. Best score after a few hours is 1.24e-13 w/skew 8.7M.
Last fiddled with by VBCurtis on 2013-07-14 at 04:17 |
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#32 |
"Curtis"
Feb 2005
Riverside, CA
562810 Posts |
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Update: Score 1.32e-13, skew 7.3M. Since wombatman's skews are lower than mine, I'll add a zero for tomorrow's run after a C152 run for RichD's aliqueit sequence.
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#33 |
"Vincent"
Apr 2010
Over the rainbow
22×7×103 Posts |
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For the C176
Code:
R0: -2258685475663263250324560136301285 R1: 140428258550291 A0: -802438015828677555679491307924381393152 A1: 36920184606841951622303727157923495 A2: -41481464461097192689035440776 A3: -488488458101203216750 A4: 4075532791202328 A5: 405667080 skew 2987703.90, size 2.744e-017, alpha -6.656, combined = 1.281e-013 rroots = 5 Last fiddled with by firejuggler on 2013-07-14 at 08:29 |
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