Identifier
Values
[] => 1
[1] => 2
[2] => 3
[1,1] => 3
[3] => 4
[2,1] => 5
[1,1,1] => 4
[4] => 5
[3,1] => 7
[2,2] => 7
[2,1,1] => 7
[1,1,1,1] => 5
[5] => 6
[4,1] => 9
[3,2] => 10
[3,1,1] => 10
[2,2,1] => 10
[2,1,1,1] => 9
[1,1,1,1,1] => 6
[6] => 7
[5,1] => 11
[4,2] => 13
[4,1,1] => 13
[3,3] => 13
[3,2,1] => 15
[3,1,1,1] => 13
[2,2,2] => 13
[2,2,1,1] => 13
[2,1,1,1,1] => 11
[1,1,1,1,1,1] => 7
[7] => 8
[6,1] => 13
[5,2] => 16
[5,1,1] => 16
[4,3] => 17
[4,2,1] => 20
[4,1,1,1] => 17
[3,3,1] => 20
[3,2,2] => 20
[3,2,1,1] => 20
[3,1,1,1,1] => 16
[2,2,2,1] => 17
[2,2,1,1,1] => 16
[2,1,1,1,1,1] => 13
[1,1,1,1,1,1,1] => 8
[8] => 9
[7,1] => 15
[6,2] => 19
[6,1,1] => 19
[5,3] => 21
[5,2,1] => 25
[5,1,1,1] => 21
[4,4] => 21
[4,3,1] => 27
[4,2,2] => 27
[4,2,1,1] => 27
[4,1,1,1,1] => 21
[3,3,2] => 27
[3,3,1,1] => 27
[3,2,2,1] => 27
[3,2,1,1,1] => 25
[3,1,1,1,1,1] => 19
[2,2,2,2] => 21
[2,2,2,1,1] => 21
[2,2,1,1,1,1] => 19
[2,1,1,1,1,1,1] => 15
[1,1,1,1,1,1,1,1] => 9
[9] => 10
[8,1] => 17
[7,2] => 22
[7,1,1] => 22
[6,3] => 25
[6,2,1] => 30
[6,1,1,1] => 25
[5,4] => 26
[5,3,1] => 34
[5,2,2] => 34
[5,2,1,1] => 34
[5,1,1,1,1] => 26
[4,4,1] => 34
[4,3,2] => 37
[4,3,1,1] => 37
[4,2,2,1] => 37
[4,2,1,1,1] => 34
[4,1,1,1,1,1] => 25
[3,3,3] => 34
[3,3,2,1] => 37
[3,3,1,1,1] => 34
[3,2,2,2] => 34
[3,2,2,1,1] => 34
[3,2,1,1,1,1] => 30
[3,1,1,1,1,1,1] => 22
[2,2,2,2,1] => 26
[2,2,2,1,1,1] => 25
[2,2,1,1,1,1,1] => 22
[2,1,1,1,1,1,1,1] => 17
[1,1,1,1,1,1,1,1,1] => 10
[10] => 11
[9,1] => 19
[8,2] => 25
[8,1,1] => 25
>>> Load all 288 entries. <<<
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Description
The total number of rook placements on a Ferrers board.
References
Code
def statistic(la):
return sum(matrix([[1]*p + [0]*(la[0]-p) for p in la]).rook_vector())
Created
Jun 10, 2016 at 23:59 by Martin Rubey
Updated
Apr 26, 2018 at 07:39 by Martin Rubey
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