[Coin-ipopt] Denver Informs

Carl Damon Laird claird at andrew.cmu.edu
Wed Oct 13 17:42:55 EDT 2004


Hello,

I am Carl Laird, a graduate student of Dr. Lorenz Biegler, and I will be 
giving the talk at INFORMS.  Following the conference, I will use 
the mailing list to forward a link to the slides.

Thanks for the interest,

Carl.

On Wed, 13 Oct 2004, Kirk Abbott wrote:

> Andres,
>
> Unfortunately, I will be unable to make the meeting this year.
> Once slides are available, is it possible to get a copy?
>
> Regards,
> Kirk.
>
>
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> Today's Topics:
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>   1. IPOPT tutorial at Denver INFORMS meeting (Andreas Waechter)
>
> --__--__--
>
> Message: 1
> Date: Tue, 12 Oct 2004 15:43:41 -0400 (EDT)
> From: Andreas Waechter <andreasw at watson.ibm.com>
> To: coin-ipopt mailing list <coin-ipopt at www-126.southbury.usf.ibm.com>
> Subject: [Coin-ipopt] IPOPT tutorial at Denver INFORMS meeting
>
> At this year's annual INFORMS meeting, which takes place in Denver on
> October 24-27, there will be a tutorial about IPOPT.  Below is the
> announcement from the COIN-OR events webpage
>
> www.coin-or.org/informs04.html
>
> on which you might find other COIN-OR related session that might be of
> interest for you.
>
> ----------------------- 8< ----------------------------------------------
>
> Session: Wednesday October 27, 08:00 - 09:30
>
> IPOPT, A software package for nonlinear optimization
>
> Chair: Robin Lougee-Heimer, IBM Research, robinlh at us.ibm.com
>
> # Title: IPOPT, A software package for nonlinear optimization
>
> Lead:  Carl Laird, Carnegie Mellon University, Chemical Engineering
>       Department,claird at andrew.cmu.edu
>
> Co-author: Larry Biegler, Carnegie Mellon University biegler at cmu.edu
>           Andreas Waechter, IBM Research,andreasw at us.ibm.com
>
> Abstract: The optimization package, IPOPT (available on www.coin-or.org),
> has been shown to be robust and efficient for large-scale, nonlinear
> optimization problems. We present the numerical algorithm, illustrate the
> use of the package, and show how the object-oriented software design
> allows problem specific specialization.
>
>
>
>
>
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