Hello,
I have a model that I have developed using MathProg, that I am using
regularly. Some problem datasets result in very large models. The
problem itself is solving very quickly, but I am finding the model
translation (reading the .mod file, data files, and setting up the
problem) to be very slow.
I came across this on the wikipedia entry: " The take-home message is
that nested set iterations should be avoided where possible, as these
greatly expand the dimensionality and size of the model space to be
processed.", and it discusses a case on the OSeMOSYS energy model where
the execution time was reduced from 15 hours to 9 minutes by a
reformulation.
Unfortunately, I'm not sure what they mean here, and I am looking for an
example. I have tried searching the OSeMOSYS site for more information,
as well as searching for publications by Jonas Horsch, who did the
reformulation, but have had no luck yet.
Does anybody have examples illustrating how to avoid nested-set
iterations in MathProg?
Thanks in advance,
Greg