<div dir="ltr"><div>Hi Claus,<br>Thanks for your answer. If possible, can you share your performance numbers ? Details about Runtime /
Hardware / RAM / Number of constraints will help. <br><br>Thanks again,<br></div>Ashish<br></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Sat, Jun 21, 2014 at 8:22 AM, Claus Futtrup <span dir="ltr"><<a href="mailto:cfuttrup@gmail.com" target="_blank">cfuttrup@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<div>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<div><div class="h5"><br>
<br>
On 19-Jun-14 09:44, Ashish Jaen wrote:<br>
</div></div></div>
<blockquote type="cite"><div><div class="h5">
<div dir="ltr">
<div>
<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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