Hi,

I don't think you will be able to avoid using integer variables for
that problem (e.g. extend your set of variables  with a binary
variable per continuous variable and impose a constraint of max. 15-20
non-zero binary variables).

best regards

 Nicolas

On Fri, Jul 25, 2008 at 12:18 AM, Jahnavi Prasad
<[EMAIL PROTECTED]> wrote:
> Hi,
>
> I am trying to use GLPK in a flux-balance analysis context in biology.
> Once the linear constraints are defined and maximization of the
> objective function is done, I often find that the solution contains too
> many changes across the free variable set, and I cannot change that many
> variables (over 1000 sometimes) for my engineering problem. I can at the
> most take care of say a 15-20. How can I restrict the number (not
> magnitude) of changes in the LP maximization?
>
> Can someone please answer this question?
>
> Thanks a lot,
> regards,
> Prasad
>
>
>
>
>
>
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