Re: sparse(i, j, v) for N-dim input

> On Thu, May 15, 2008 at 6:25 PM, dbateman <dbateman@...> wrote:
>  
>> Kim Hansen-5 wrote:
>>    
>>> How about making
>>>   S = sparse (I, J, SV, M, N, NZMAX)
>>> work for multi dimensional I, J and SV ?
>>>
>>> The workaround sparse(I(:), J(:), SV(:)) is easy, but I would like
>>> sparse() to check that the dimensions of I, J, and SV were the same
>>> and then create the sparse matrix also for 3+-dimensional input
>>> matrices.
>>>
>>>      
>> I'm no sure I understand what you mean. If the size of the matrix is
>>    
>
> I'll try with an example:
>
> octave:1> a=reshape(1:8,[2 2 2]);
> octave:2> sparse(a,a,a,8,8)
> error: invalid conversion of NDArray to Matrix
> error: invalid conversion of NDArray to Matrix
> error: invalid conversion of NDArray to Matrix
> octave:2> sparse(a(:),a(:),a(:),8,8)
> ans =
>
> Compressed Column Sparse (rows = 8, cols = 8, nnz = 8)
>
>   (1, 1) ->  1
>   (2, 2) ->  2
>   (3, 3) ->  3
>   (4, 4) ->  4
>   (5, 5) ->  5
>   (6, 6) ->  6
>   (7, 7) ->  7
>   (8, 8) ->  8
>
> octave:3>
>
> I just think that statement number 2 should work and return the same
> as the 3rd statement.
>
>