On Fri, Jan 22, 2010 at 3:21 AM, Yingjie Lan
<address@hidden> wrote:
Hi Tawny,
My pleasure, surely enjoyed the problem as well. ;)
Probably should contribute this thing into the example set
that ships with GLPK, and maybe I will also add an exampel
in PyMathProg, once GLPK has it (which means GPL, hehe).
> > Big-M: M = 15 - 1 given 15 tasks.
> param BigM := 100;
Usually too big an M slows down the solver,
it might be good to make it as smaller as you can.
If you really have a huge model, say with
200 tasks, row generation suggested by others
might be a must, my rough guess.
Cheers,
Yingjie