[SciPy-User] scipy 64bit cannot handle very large matrix
(integer overflow)  osman buyukisik osman@fuse.... Tue Jan 29
18:44:41 CST 2013  On 01/29/2013 12:51 PM, Pauli Virtanen wrote:
> 29.01.2013 19:46, Pauli Virtanen kirjoitti: >> 29.01.2013
05:47, ICool kirjoitti: >>> I am using arpack package for a
eigen problem.  The matrix is very >>> sparse but also very big.
The dimension is even out of the UINT32 >>> range.  I use shift-
invert to find the minimal eigenvals and associated >>>
eigenvalues. The code crashes and returns the follow error
message: >>> I found that '1434729898' is a UINT32 number
overflowed >>> from '5729697194'.  Looking at the code, it seems
that the error is from >>> the Fortran function 'gmresrevcom',
where it is still using 32-bit >>> integer as the input
parameter. I am using 64bit python.  Why is the >>> Fortran
function 32bit?  Will it be a general issue for other Fortran
>>> functions?  Is there anyway to fix it? >> Fortran integers
are usually 32-bit. Fixing this issue would then