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<div class="moz-cite-prefix">Hi Ashish Jaen<br>
<br>
I of course cannot know about your problem explicitly, but I'd say
that 2000 values (variables) is no problem. I've worked with
vectors up to 2 million in size. Also the 5000 constraints, well,
it sounds like it can be done.<br>
<br>
There is a problem with Scilab in its current form having limits
to managing memory. You should execute the command
stacksize('max'); to use as much available memory as possible. I
believe that Scilab is working on removing this limit in a future
edition of Scilab (v. 6).<br>
<br>
Whether you will run into a memory problem I can't say. I guess,
the only way to find out is to try.<br>
<br>
Best regards,<br>
Claus<br>
<br>
On 19-Jun-14 09:44, Ashish Jaen wrote:<br>
</div>
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<div>
<div>Hi,<br>
I am new to this mailing list, so please pardon me if this
question has been asked before.<br>
<br>
</div>
Has anyone used Scilab for large scale linear optimization ?
The problem size I am looking at is about 2000 variables and
5000 constraints.<br>
<br>
</div>
<div>Will be great if you can also share some performance
numbers.<br>
</div>
<div><br>
</div>
I have used Matlab in the past but no longer have the license
as I am not in university any more :(<br>
<br>
</div>
Regards.</div>
<br>
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