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Gen. Cullen prime table

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Overview

Automatically generated table from available Gen. Cullen primes.

Explanations

The colors used in the table are defined as:

 
 : Base is reserved
 
 : Base is not reserved

Primes table

Base max n Date # Primes for n
2 17,000,000 2019-04-28
PrimeGrid
16 1, 141, 4713, 5795, 6611, 18496, 32292, 32469, 59656, 90825, 262419, 361275, 481899, 1354828, 6328548, 6679881
3 1,200,000 2019-04-28 14 2, 8, 32, 54, 114, 414, 1400, 1850, 2848, 4874, 7268, 19290, 337590, 1183414
4 250,000 2018-08-14
Bryan Koen
13 1, 3, 7, 33, 67, 223, 663, 912, 1383, 3777, 3972, 10669, 48375
5 379,575 2018-08-14 2 1242, 18390
6 200,000 2018-08-14 14 1, 2, 91, 185, 387, 488, 747, 800, 9901, 10115, 12043, 13118, 30981, 51496
7 255,681 2018-08-14 3 34, 1980, 9898
8 166,666 2018-08-14
Serge Batalov
8 5, 17, 23, 1911, 20855, 35945, 42816, 749130
13 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
25 2,700,000 2019-09-13
PrimeGrid
1 2805222
29 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
47 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
49 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
55 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
69 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
73 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
101 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
109 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
121 PhpTags Warning: number_format() expects parameter 1 to be float, string given in Template:Num on line 1
0
256 400,000 2014 6 1, 57, 1641, 2076, 6040, 371400
512 300,000 2018 1 56271
8192 400,000 2018 1 298989
16384 350,000 2018 3 1963, 94189, 222216
32768 250,000 2018 2 5, 51359