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<div class="moz-cite-prefix">Babek,<br>
<br>
I would construct each model from scratch. Clp is thread safe, so
you could easily be solving 4/8 models simultaneously - which
would be more difficult with the file solution. It should not be
any more difficult and would be more efficient - assuming you can
put an upper limit on size of matrix - and so construct a model
using about 8 arrays of known size.<br>
<br>
John Forrest<br>
On 11/05/15 22:31, Babak Moazzez wrote:<br>
</div>
<blockquote
cite="mid:CAEHJM4ndERyEnVdXXzdzuxLTxzDJcGmXyBU_B9BMTP2r+HphvA@mail.gmail.com"
type="cite">
<div dir="ltr">Hi
<div><br>
</div>
<div> We have a large number of independent models (roughly
13,000) and each LP model has about 7000 variables and 6000
constraints. If we want to solve models one by one with CLP,
which one would be faster and more efficient? write problems
to LP file and read from LP files or construct each model from
scratch by defining variables and constraints?<br clear="all">
<div><br>
</div>
<div>Sincerely</div>
<div class="gmail_signature">
<div dir="ltr">Babak Moazzez<br>
<br>
</div>
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