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Old 2008-03-20, 10:50   #45
roger
 
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Oct 2006

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Hi, I think I'll pitch in a bit here as well.

Reserving n=8825 to n=10000, don't know how long it will take though...

Is there any more efficient method than just using NewPGen for sieving with the auto-increase n and pfgw for testing?

roger
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Old 2008-03-20, 12:08   #46
robert44444uk
 
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Jun 2003
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Hi Roger, happy for you to work at the far end of the first 10000 spectrum. I am doing this rather manually, I write a .bat file for cnewpgen that contains a 100 lines like:

cnewpgen -wp=02.txt -v -t=2 -base=2 -n=3108 -kmin=2 -kmax=5000000 -own -osp=5000000000

for a range of 100n

This is newpgen for command line, and would create a file called 02.txt with k checked from 2 to 5 million, stopping at p=5 million for n=3108

and finish the .bat file with

copy *.txt merged.log
del *.txt //(you should be doing this in a subdirectory with no .txt files!!!)

Then I run the .bat file through the DOS window and then run merged.log through LLR version 3.7

I extract the first twin found and then create another .bat file for those with no twins and check the next 5 million k

cnewpgen -wp=02.txt -v -t=2 -base=2 -n=3108 -kmin=5000000 -kmax=10000000 -own -osp=5000000000

It would be nice to have a programme that linked the two activities cnewpgen and LLR, and for LLR to stop when it finds a twin. That would allow much larger cnewpgen files to be created and the whole thing to run uninterrupted

Last fiddled with by robert44444uk on 2008-03-20 at 12:10
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Old 2008-03-20, 16:28   #47
Jean Penné
 
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May 2004
FRANCE

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Quote:
Originally Posted by robert44444uk View Post
Hi Roger, happy for you to work at the far end of the first 10000 spectrum. I am doing this rather manually, I write a .bat file for cnewpgen that contains a 100 lines like:

cnewpgen -wp=02.txt -v -t=2 -base=2 -n=3108 -kmin=2 -kmax=5000000 -own -osp=5000000000

for a range of 100n

This is newpgen for command line, and would create a file called 02.txt with k checked from 2 to 5 million, stopping at p=5 million for n=3108

and finish the .bat file with

copy *.txt merged.log
del *.txt //(you should be doing this in a subdirectory with no .txt files!!!)

Then I run the .bat file through the DOS window and then run merged.log through LLR version 3.7

I extract the first twin found and then create another .bat file for those with no twins and check the next 5 million k

cnewpgen -wp=02.txt -v -t=2 -base=2 -n=3108 -kmin=5000000 -kmax=10000000 -own -osp=5000000000

It would be nice to have a programme that linked the two activities cnewpgen and LLR, and for LLR to stop when it finds a twin. That would allow much larger cnewpgen files to be created and the whole thing to run uninterrupted
Hi,
LLR (or cllr) has an option to stop on success :

add the line:
StopOnSuccess=1
in the .ini file, or use
cllr -oStopOnSuccess=1

Newpgen, or cnewpgen has an option to call PFGW when the stop condition is reached ; I could add the option to call another program, such as cllr, as soon as possible...
Regards,
Jean
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Old 2008-03-21, 01:10   #48
kar_bon
 
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Mar 2006
Germany

B1E16 Posts
Default efficient method

i made two WIN-batches to do a range of k's with first twins:

this first batch (named 'do_range.bat') takes a range of k to determine and calls the second batch with parameter k
(here the range from k=100 to k=120 will be done):
Code:
FOR /L %%k IN (100,1,120) DO call do_one.bat %%k
the second (named 'do_one.bat') batch takes one k (parameter %1) and determine the first twin, makes a file with all results in '<k>_lresults.txt' and the twin in '<k>.res' and lists the twin found in 'all_twins.txt':
Code:
cnewpgen -wp=%1.npg -v -t=2 -base=2 -n=%1 -kmin=2 -kmax=5000000 -own -osp=5000000000
cllr -oStopOnSuccess=1 %1.npg
ren lresults.txt %1_lresults.txt
FOR /F "skip=1 tokens=1,2" %%i in (%1.res) DO @echo %%j %%i >>all_twins.txt
modifications:

- call the second batch with parameter for kmax and/or pmax other values like 'call do_one.bat %%k 20000000 3000000000' and edit the second batch first line in '(...) -kmin=2 -kmax=%2 -own -osp=%3'

- all found twins will be stored in 'all_twins.txt' so the other files are not needed anymore.
append a delete in the second batch:
Code:
del %1.npg %1.res %1_lresults.txt
next step is to check if a twin was found. if not do another n-range for this k.

hope this helps! happy hunting
karsten
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Old 2008-03-21, 02:51   #49
robert44444uk
 
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Jun 2003
Oxford, UK

188010 Posts
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Sorry, I am incredibly thick, but where do you get cllr from, it is not on Jean's LLR download page
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Old 2008-03-21, 04:52   #50
mdettweiler
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Aug 2007
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3×2,083 Posts
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Quote:
Originally Posted by robert44444uk View Post
Sorry, I am incredibly thick, but where do you get cllr from, it is not on Jean's LLR download page
It's listed as "LLR 3.7.1c, Windows command line version". It's essentially Linux LLR, but compiled for Windows (so it has all the command-line functions instead of the GUI, and thus is more suitable for being driven by a script.)
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Old 2008-03-21, 06:14   #51
robert44444uk
 
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Jun 2003
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Brilliant, thanks, was looking on the wrong page on Jean's site

Last fiddled with by robert44444uk on 2008-03-21 at 06:26
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Old 2008-03-24, 09:45   #52
robert44444uk
 
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Jun 2003
Oxford, UK

23·5·47 Posts
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And here is the list from 3000 to 4000

I am well on the way from 4000 to 6000 with the automated code provided by Karsten, thank you for that, works like a dream. At some stage I need to recheck 1000 to 4000 which did not use the automated code.

Code:
3001	11327799
3002	1778253
3003	1228629
3004	57267
3005	4266951
3006	5456133
3007	2224539
3008	4473543
3009	4801101
3010	877683
3011	4739259
3012	7339713
3013	1022649
3014	713397
3015	1964121
3016	4105647
3017	5559
3018	2289465
3019	8539635
3020	683067
3021	5840355
3022	1794267
3023	940701
3024	18221067*
3025	1645569
3026	5786403
3027	352725
3028	5748195
3029	752385
3030	4376367
3031	856821
3032	1102707
3033	9239505
3034	762747
3035	5483421
3036	10970487
3037	3655371
3038	1088283
3039	962241
3040	1107615
3041	480039
3042	1994403
3043	6655221
3044	906315
3045	491775
3046	3854685
3047	477081
3048	1778775
3049	206379
3050	539007
3051	2204871
3052	8402763
3053	6772875
3054	513807
3055	1130211
3056	1183083
3057	798849
3058	1094667
3059	2196411
3060	3037767
3061	1944705
3062	4358805
3063	13991565
3064	5439987
3065	1183281
3066	1015245
3067	11058201
3068	441927
3069	773481
3070	2701977
3071	454065
3072	2380107
3073	5862771
3074	90705
3075	1149405
3076	5134215
3077	2384571
3078	496377
3079	2197749
3080	2605137
3081	19703565*
3082	497457
3083	1676619
3084	1740963
3085	653721
3086	1652493
3087	4630311
3088	1145373
3089	3498249
3090	1789533
3091	1590171
3092	7180893
3093	5691159
3094	1868853
3095	9388239
3096	1828047
3097	2913681
3098	1129173
3099	1856661
3100	1103985
3101	1631535
3102	765063
3103	3953985
3104	58143
3105	1948095
3106	1795197
3107	309561
3108	5026887
3109	5350731
3110	6887175
3111	1590039
3112	450735
3113	2419425
3114	1938765
3115	4567785
3116	5099007
3117	496479
3118	3543135
3119	13625325
3120	2047533
3121	6107235
3122	809367
3123	8354685
3124	7728117
3125	241455
3126	2477823
3127	2886675
3128	1651593
3129	2370669
3130	2248785
3131	8646975
3132	383505
3133	4011981
3134	464205
3135	7882395
3136	984717
3137	1379685
3138	3811017
3139	2726079
3140	15630843
3141	3922149
3142	1658103
3143	954759
3144	549057
3145	1406259
3146	2326785
3147	505995
3148	9680385
3149	2541885
3150	5548827
3151	779781
3152	446583
3153	5462559
3154	4618833
3155	2680005
3156	3039447
3157	846531
3158	11184363
3159	4404729
3160	3632445
3161	5644779
3162	1747365
3163	2523519
3164	5062557
3165	2799249
3166	1497537
3167	2585829
3168	5876553
3169	4788369
3170	935955
3171	3218091
3172	3946545
3173	883935
3174	2259183
3175	1039635
3176	3854235
3177	8884479
3178	10648245
3179	41205
3180	1322913
3181	2193381
3182	2402883
3183	6439521
3184	4259613
3185	619011
3186	5678823
3187	1537821
3188	3136983
3189	6050265
3190	386727
3191	1740705
3192	1504617
3193	1254615
3194	4940457
3195	2211135
3196	2722173
3197	11827029
3198	7151895
3199	4207401
3200	7398465
3201	4461975
3202	10062717
3203	3171771
3204	1524645
3205	2049525
3206	5548497
3207	739581
3208	3511683
3209	260019
3210	6222993
3211	298965
3212	4527783
3213	1831191
3214	1210623
3215	43095
3216	778845
3217	2851371
3218	1339197
3219	1755141
3220	1828227
3221	3487221
3222	440937
3223	2243331
3224	5077743
3225	530649
3226	4166037
3227	803919
3228	1568847
3229	49449
3230	1827027
3231	5412141
3232	7204995
3233	4335201
3234	1335987
3235	401625
3236	17617383
3237	3673605
3238	2342415
3239	6042315
3240	171195
3241	17263281
3242	896697
3243	2027349
3244	2780367
3245	6265311
3246	1646235
3247	1524819
3248	4659897
3249	1811199
3250	2445885
3251	1378101
3252	2788275
3253	4794165
3254	3638265
3255	4167849
3256	1868277
3257	688761
3258	1274457
3259	646245
3260	2544633
3261	9907545
3262	6993903
3263	11213535
3264	4938003
3265	859479
3266	10618413
3267	2066649
3268	6828453
3269	4123479
3270	2393823
3271	1322985
3272	1603773
3273	4133805
3274	1165143
3275	4763205
3276	1414233
3277	540645
3278	2790477
3279	5075961
3280	9053913
3281	1038855
3282	2311563
3283	1149
3284	5411685
3285	10112589
3286	6481113
3287	189675
3288	6339525
3289	4826541
3290	2308215
3291	11034189
3292	311823
3293	1014675
3294	4391343
3295	2058225
3296	4023837
3297	6713031
3298	1230063
3299	11068569
3300	7820355
3301	220341
3302	4873485
3303	1563705
3304	5631213
3305	750879
3306	793707
3307	15529215
3308	3006795
3309	10797021
3310	2324205
3311	10376619
3312	3336837
3313	417921
3314	8371203
3315	521349
3316	4882893
3317	7492965
3318	608235
3319	2201625
3320	6462663
3321	7647699
3322	271875
3323	820161
3324	1176357
3325	18640221
3326	6551943
3327	16468035
3328	4485795
3329	579855
3330	1556667
3331	2406231
3332	2928765
3333	1645875
3334	490953
3335	8920941
3336	310923
3337	681801
3338	2081283
3339	651639
3340	2048103
3341	935715
3342	8651907
3343	4449759
3344	217827
3345	8565309
3346	4936275
3347	4920285
3348	1291587
3349	18933489
3350	16340397
3351	1667811
3352	3221505
3353	5795565
3354	754953
3355	4393605
3356	10937847
3357	327435
3358	441345
3359	1111065
3360	5813973
3361	4535475
3362	2416863
3363	9429459
3364	11125317
3365	2155839
3366	4065105
3367	8383731
3368	646215
3369	1131615
3370	1511637
3371	8086005
3372	655347
3373	2853069
3374	11505843
3375	13462209
3376	11596695
3377	8702205
3378	6362787
3379	6095235
3380	966897
3381	2310021
3382	5008185
3383	12774891
3384	13691535
3385	1518249
3386	1082763
3387	3354165
3388	14234487
3389	6531651
3390	2800317
3391	697425
3392	1836723
3393	3689871
3394	5157615
3395	10154229
3396	10408485
3397	7044555
3398	8125617
3399	2255199
3400	1466247
3401	8338635
3402	319863
3403	10669995
3404	8443023
3405	1424409
3406	4801155
3407	1057101
3408	788655
3409	1476711
3410	380883
3411	608121
3412	1292913
3413	335019
3414	1541127
3415	7469775
3416	234417
3417	5444175
3418	5881743
3419	8471001
3420	196443
3421	4026465
3422	7596177
3423	1475355
3424	4192383
3425	4892985
3426	34365
3427	1231251
3428	929337
3429	3840645
3430	1783413
3431	2004831
3432	118683
3433	744735
3434	6051387
3435	4299981
3436	2392623
3437	6429639
3438	2536875
3439	1794771
3440	465447
3441	16641231
3442	4873815
3443	529491
3444	5970255
3445	9157905
3446	1762617
3447	21868521*
3448	7103535
3449	6075495
3450	7639767
3451	3663801
3452	3164127
3453	498405
3454	1470195
3455	21776115
3456	1008873
3457	2283045
3458	5914947
3459	2347965
3460	2403
3461	9759795
3462	3798273
3463	5982039
3464	1292427
3465	437661
3466	3143433
3467	457239
3468	1637043
3469	8104971
3470	2870433
3471	1506459
3472	1757043
3473	3246645
3474	4450677
3475	2877495
3476	2012343
3477	136101
3478	2741835
3479	3209121
3480	834543
3481	2822259
3482	6361023
3483	4127931
3484	234627
3485	11344311
3486	1664205
3487	11405631
3488	3978573
3489	7706475
3490	1479987
3491	7264071
3492	3082215
3493	1117509
3494	169113
3495	3745065
3496	10908093
3497	298269
3498	2453475
3499	578271
3500	3420243
3501	3764295
3502	1102095
3503	83331
3504	11214327
3505	5803065
3506	18678603
3507	8350209
3508	11915847
3509	14353455
3510	3388455
3511	11006571
3512	1786707
3513	4895355
3514	2641665
3515	2094345
3516	1528053
3517	8807955
3518	1141893
3519	3658749
3520	4023957
3521	6055755
3522	536007
3523	2515149
3524	3922713
3525	2786595
3526	2748705
3527	10102011
3528	3368745
3529	2335251
3530	3694947
3531	1761069
3532	3793827
3533	320949
3534	311853
3535	5826549
3536	30030213*
3537	5817735
3538	10338573
3539	490725
3540	906087
3541	16079481
3542	1675425
3543	7060419
3544	10574367
3545	2110749
3546	7949403
3547	5425035
3548	4554465
3549	1049835
3550	4167927
3551	36159
3552	5602833
3553	4845
3554	1116633
3555	2448141
3556	3248883
3557	9527571
3558	13819515
3559	5143929
3560	821355
3561	4781319
3562	7074795
3563	3244389
3564	4943883
3565	3059691
3566	1447125
3567	9316485
3568	3355737
3569	1028079
3570	9272205
3571	1195545
3572	3210267
3573	2469555
3574	3513405
3575	3213129
3576	943653
3577	8409975
3578	8154345
3579	4391349
3580	5231913
3581	4037565
3582	632973
3583	6762285
3584	1909995
3585	757221
3586	1052547
3587	51591
3588	1436745
3589	1394499
3590	1838493
3591	1446441
3592	7545525
3593	4959795
3594	358197
3595	3686529
3596	2835105
3597	3291675
3598	2741643
3599	3672369
3600	11381697
3601	88311
3602	5226843
3603	13421469
3604	763383
3605	20265291
3606	866043
3607	2063979
3608	14246805
3609	551451
3610	3024513
3611	6735105
3612	2109657
3613	8030661
3614	15164145
3615	1871769
3616	101793
3617	3834831
3618	867813
3619	4734219
3620	7564407
3621	7426851
3622	1832397
3623	4553451
3624	3902925
3625	7138629
3626	183207
3627	1829571
3628	1279137
3629	2972571
3630	3578055
3631	695505
3632	1570197
3633	4747521
3634	218217
3635	7624971
3636	4811265
3637	10434111
3638	10060095
3639	6018639
3640	1685697
3641	69069
3642	3377103
3643	722799
3644	4764225
3645	17551545
3646	40713
3647	871161
3648	3743103
3649	3035499
3650	9300423
3651	13100145
3652	5785683
3653	1117161
3654	3012093
3655	5727045
3656	8689317
3657	4655859
3658	5240325
3659	2613771
3660	2691477
3661	1396761
3662	1336947
3663	7134459
3664	2071407
3665	1586931
3666	1117755
3667	3701949
3668	6270057
3669	5194479
3670	470445
3671	879915
3672	3355863
3673	3868779
3674	5384637
3675	2319609
3676	995223
3677	1140441
3678	2556123
3679	3380589
3680	2764605
3681	1761519
3682	467817
3683	3504579
3684	3103173
3685	1513065
3686	654837
3687	5218449
3688	1863423
3689	22770201
3690	3466515
3691	1159935
3692	23318625
3693	865035
3694	3506907
3695	2542575
3696	149307
3697	1861239
3698	581703
3699	251949
3700	3348087
3701	7300875
3702	6583287
3703	11884431
3704	864753
3705	11780661
3706	1586163
3707	799701
3708	1634535
3709	3200829
3710	5050125
3711	1274625
3712	14894643
3713	4712235
3714	1193253
3715	1290339
3716	4448613
3717	1342059
3718	6272373
3719	1553145
3720	11276415
3721	24377115
3722	5373
3723	2303775
3724	256983
3725	9673581
3726	731085
3727	10665585
3728	1627305
3729	5389029
3730	1094247
3731	2147445
3732	5120325
3733	11700555
3734	3075747
3735	16801449
3736	10925907
3737	758229
3738	582225
3739	226821
3740	6842415
3741	4527345
3742	12438273
3743	11021475
3744	5235087
3745	567699
3746	6729237
3747	6554559
3748	2907567
3749	1642299
3750	2696313
3751	1345359
3752	11093967
3753	11828379
3754	5246373
3755	310281
3756	6747213
3757	1090341
3758	5244135
3759	1357419
3760	647493
3761	10306425
3762	7019337
3763	4186665
3764	1101783
3765	8613621
3766	13109175
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3994	6410487
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3998	2564187
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4000	2515263
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Old 2008-03-24, 12:14   #53
robert44444uk
 
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Jun 2003
Oxford, UK

75816 Posts
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Quote:
Originally Posted by robert44444uk View Post
Gary/ Karsten

Results of first instance primes to 1400 show a rather nice curve when plotting ln(k/n) against n. Best fit looks to be logarithmic as well. Would be interested to know if this might be a good way to target large twins. For example, if the extrapolation of the best fit to n=333333, gave A= ln(k/n)= 9, then the first twin would be, on average, at k=2.70103*10^9 then the test might look at n from 333333 to n 333433, say at A=8.999 to 9.001 or k=2.69833*10^9 to 2.70373*10^9. A 50 million k range, sieved to 1T would provide about 4,000 candidates for prime checking or 400,000 overall for a 100 k range.

Values within x% either side of the of the forecasted first value for each of the first 4000n:

1% 20
2% 56
3% 84
4% 109
5% 145
6% 168
7% 192
8% 215
9% 238
10% 261

No apparent abnormal density factors at play here
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Old 2008-03-24, 21:40   #54
roger
 
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Oct 2006

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Where can I get this automated code Karsten did?
Unfortunately, my range is going slowly, as I have only found 55 (5%), and sieved for 390 (33%). It should improve as my search continues, when it is more organized

roger
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Old 2008-03-25, 00:19   #55
kar_bon
 
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Mar 2006
Germany

2·1,423 Posts
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data for n upto 4000 are online!

to roger: to get the scripts look some posts above!

Last fiddled with by kar_bon on 2008-03-25 at 00:20
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