On 2014-02-28, Andrew <andrew.mat...@sydney.edu.au> wrote:
> The easiest way is probably to store your matrices in a some sort of 
> "normal form": permute the rows and columns so that one of the smallest 
> entries in your matrix is in the (1,1) position and then permute rows 2,3, 
> ... so that the entries in column one are weakly increasing from top to 
> bottom. Now permute columns 2,3,... so that the smallest possible entry is 
> in position (2,2) subject to the constraint that the entries in column one 
> do not change. Continue in a suitable fashion. Then two matrices will be 
> permutation equivalent if and only if they have the same normal form.
>
> For your example matrices below the normal form would be 
> [[0,1,1],[1,0,1],[1,1,1]].

the problem in question is still the isomorphism problem for bipartite 
graphs (which is a complete problem in the complexity class dealing
with graph isomorphismsi, AFAIK).
You most probably can't solve it by a polynomial-time procedure.


>
> For 0-1 matrices, however, I wouldn't be surprised if the sets of row and 
> column sums determine the orbit uniquely.
>
> Andrew
>
> On Friday, 28 February 2014 06:25:24 UTC+11, Keivan Monfared wrote:
>>
>> In a problem that I am solving I generate matrices and put them in a list. 
>> The list gets long as if a matrix is a solution to my problem, all of its 
>> permutations are, so I want to check to see if a matrix that I find is 
>> permutation of another matrix which is already in the list. Are there any 
>> fast ways to do this? Anything faster than checking all permutations of 
>> that matrix?
>>
>> If it helps, all my matrices are 0-1 matrices.
>>
>

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