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C179 score
1.034e-013
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C179 score
1.096e-013
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[trolling]
If you use a leading zero in front of the exponent, is that octal? :razz: (sorry, it is Saturday morning, and I could not resist trolling it, during my morning coffee, but it may have a seed of truth, some programs may interpret is like so, and you will end up importing the wrong data...) [/trolling] |
C179
This is the best I have found. Any improvements?
[CODE]R0: -20029029394762181000306033508670828 R1: 170451191305026917 A0: -291136282323820445154152809196446094634309 A1: 116905019700065702839392723782241608 A2: 20017925528604521636900338791 A3: -2232766984604161063134 A4: -42742865029136 A5: 6744240 skew 11825700.05, size 1.827e-17, alpha -6.407, combined = 1.042e-13 rroots = 3[/CODE] |
[QUOTE=RichD;483325]This is the best I have found. Any improvements?
[CODE]R0: -20029029394762181000306033508670828 R1: 170451191305026917 A0: -291136282323820445154152809196446094634309 A1: 116905019700065702839392723782241608 A2: 20017925528604521636900338791 A3: -2232766984604161063134 A4: -42742865029136 A5: 6744240 skew 11825700.05, size 1.827e-17, alpha -6.407, combined = 1.042e-13 rroots = 3[/CODE][/QUOTE] CADO can't improve it, sorry. |
Just completed 1M-1.5M in 65 hours (not counting -npr time) with no flares to report. Plowing through 1.5-2M now.
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I finished 3-5M with nothing of interest (9.7 was best). Continuing from 10M with a tighter stage 1 norm (1.0 rather than 1.2), hoping for one more hit above 1.0.
So far, I think there are 4 polys better than 1.0, three found by Max. I'll be test-sieving the best scoring poly from each hit (not two from the same raw poly, but I think there are 4 different polys above 1.0). I'll put 3-4 more days in for a 1.10, but Max got 1.09 and that's pretty close! |
C179 polys
I think I have more than three polys (with different c5) above 1.0. I was just posting the best to date score. I'll list them tomorrow.
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Here's my best, from the first day of searching:
[code] R0: -38702504539900119965023479472812033 R1: 196475479114227511 A0: -476387976293826132723316595512383852427220 A1: -2700759220425692205092446910085378 A2: 39000472282285580192748241006 A3: 1419194354508995293134 A4: -241294721170421 A5: 250344 skew 14206346.38, size 1.787e-17, alpha -6.700, combined = 1.006e-13 rroots = 5[/code] I've started my CADO run for this input; I learned that nq=78125 is folly. Each A5 value takes well over 30 minutes, so even with adrange of 200 some workunits are timing out. Going to run 5000 to 50000 with nq=15625 and see what I get. |
C179 polys
These three are spin-offs of each other. I only post the top score for each c5.
[code] # norm 2.454636e-017 alpha -7.241647 e 1.096e-013 rroots 5 skew: 105144915.45 c0: 128190096934918070315443113608723659518354600 c1: 14786907766401977160677345639541928920 c2: -18125436225640906158198747520 c3: -2855680594021742157071 c4: 2573527187756 c5: 104940 Y0: -46052962396833657768138093839124983 Y1: 15647590951762912285331 [/code] [code] # norm 2.389422e-017 alpha -7.124052 e 1.093e-013 rroots 5 skew: 46683630.89 c0: 12147507982730241248912761660758366376191250 c1: 2425703948417777713124822586666875775 c2: 17916541482146865032415599038 c3: -2879004999683990389647 c4: -1419696250088 c5: 419760 Y0: -46053060313574339702580320421238527 Y1: 31295181903525824570662 [/code] [code] # norm 2.137043e-017 alpha -7.243711 e 1.018e-013 rroots 5 skew: 133948997.78 c0: 130009736819789810356182270011187953639793912 c1: 11145826720420646685964494102681049812 c2: 25550508280467293790165112312 c3: -2879108627384532452999 c4: 345216465928 c5: 26235 Y0: -92106037108851763554397411853389780 Y1: 15647590951762912285331 [/code] From the first run: [code] Y0: -36906870106829364745546078433407322 Y1: 5071288542614620012183 c0: 13565862719704155321348424477107433400483700 c1: -7125085703781307774554382982133785891 c2: 307165389876775291544674605840 c3: 4523368680854237491341 c4: 395934754407770 c5: 3174600 skew: 35092455.05 # size 1.856e-17, alpha -9.076, combined = 1.034e-13 rroots = 3 [/code] [code] Y0: -53065898088266323535139022526014268 Y1: 1095048100025399695123 c0: -63302145744815392681906279281481606001653320 c1: 21280046808768311358246595429372288234 c2: -543013809489162646324633117845 c3: -24049997213270183497297 c4: 149759340870432 c5: 2479680 skew: 51269254.30 # size 1.795e-17, alpha -9.136, combined = 1.029e-13 rroots = 5 [/code] |
[QUOTE=RichD;483325]This is the best I have found. Any improvements?
[CODE]R0: -20029029394762181000306033508670828 R1: 170451191305026917 A0: -291136282323820445154152809196446094634309 A1: 116905019700065702839392723782241608 A2: 20017925528604521636900338791 A3: -2232766984604161063134 A4: -42742865029136 A5: 6744240 skew 11825700.05, size 1.827e-17, alpha -6.407, combined = 1.042e-13 rroots = 3[/CODE][/QUOTE] A slightly weaker spin-off of RichD's poly above: [code] R0: -10014514696775507757758308413025640 R1: 170451191305026917 A0: 19490706563971111969252190190688123113387 A1: 85494466271403865608479623942793620 A2: -65321591049214481929999770039 A3: -339604994665232248560 A4: 3149887638778624 A5: 215815680 skew: 4394408.93 # size 1.821e-017, alpha -7.021, combined = 1.015e-013 rroots = 5 [/code] |
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