Dear all,
On Tue, Jun 14, 2016 at 11:01:55AM +0200, Max Horn wrote:
> > On 14 Jun 2016, at 05:52, R.N. Tsai <r_n_t...@yahoo.com> wrote:
> > I have same fairly large matrices that take a long time to calculate. Is
> > there a way to save these efficiently?I read about saving the workspace but
> > that won't help with this; I have many matrices and I want to load morethan
> > one at a time. I tried printing to a text file but that takes a very long
> > time because of the size of the matrices.
>
> To get a better feeling for your problem: How large are you matrices? Over
> which ring are they defined?
>
> > Here's how I would have done this in Ocatave/Matlab :
> > M1=(results of long
> > calculations)save('M1.mat','M1);M2=...save('M2.mat','M2);
> > so in the future I can bring up these matrices into gap like this :
> > load('M1.mat','M1')
> > load('M2.mat','M2')
> >
> > and now I can process both say M3=M1+M2,....in the same gap session...
> > Any suggestions?
> > Also, is there an efficient way to pass data between gap and Octave/Matlab?
One way to pass data between GAP and Matlab (or Octave) is to use Sage(math)
(www.sagemath.org) which is a Python library with interfaces both to GAP
(and libGAP) and Matlab (or Octave).
And in fact you can do a lot with matrices using other Sagemath parts,
e.g. numpy.
Another thing I can think of is creating a Matlab mex interface to
libGAP, which allows you to load GAP as callable C library. See
https://bitbucket.org/vbraun/libgap
(not sure whether Octave has such capabilities)
By the way, this would be a great tool regardless of your task at hand.
HTH,
Dima
>
> One way to achieve this would be to use the IO_Pickle / IO_Unpickle functions
> from the GAP IO package. You can finde an example of using them here:
> <http://www.gap-system.org/Manuals/pkg/io-4.4.6/doc/chap10.html#X81BD8400832EE20B>.
> For details, see also
> <http://www.gap-system.org/Manuals/pkg/io-4.4.6/doc/chap5.html>
>
>
> Hope that helps,
> Max
>
>
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