Chris:

I'd be happy to post this. I can post it as-is, or you can resend the notice to the same address without the note to me (I cannot edit posts).

Thanks,

--Ray

Raymond A. Adomaitis, Professor
Associate Chair for Undergraduate Studies
Chemical and Biomolecular Engineering
Institute for Systems Research
University of Maryland Energy Research Center
Maryland NanoCenter
University of Maryland
College Park, MD 20742 USA
Phone: +1(301)405-2969
E-mail: [log in to unmask]
www.thinfilm.umd.edu
________________________________________
From: Christodoulos A. Floudas [[log in to unmask]]
Sent: Wednesday, February 22, 2012 1:50 PM
To: cast10
Cc: Christodoulos A. Floudas
Subject: GloMIQO: Global Mixed Integer Quadratic Optimizer

Dear CAST10 webmaster and Ray,
I would appreciate if you could circulate the following to the CAST10 email list.
With best regards,
Chris
C.A. Floudas


GloMIQO: Global Mixed-Integer Quadratic Optimizer

http://helios.princeton.edu/GloMIQO/index.html

The Computer-Aided Systems Laboratory at Princeton University is
pleased to announce the release of GloMIQO (Global Mixed-Integer
Quadratic Optimizer), a numerical solver addressing mixed-integer
quadratically-constrained quadratic programs (MIQCQP) to
epsilon-global optimality.

GloMIQO is commercially available through Princeton University and the
General Algebraic Modeling System (GAMS; version 23.8, now in beta:
http://www.gams.com/beta/).

Major applications of mixed-integer quadratically-constrained
quadratic programs (MIQCQP) include quality blending in process
networks, separating objects in computational geometry, and portfolio
optimization in finance. Specific instantiations of MIQCQP in process
networks optimization problems include: pooling problems, distillation
sequences, wastewater treatment and total water systems, hybrid energy
systems, heat exchanger networks, reactor-separator-recycle systems,
separation systems, data reconciliation, batch processes, crude oil
scheduling, and natural gas production. Computational geometry
problems formulated as MIQCQP include: point packing, cutting convex
shapes from rectangles, maximizing the area of a convex polygon, and
chip layout and compaction. Portfolio optimization in financial
engineering can also be formulated as MIQCQP.

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Christodoulos A. Floudas
Stephen C. Macaleer '63 Professor in Engineering and Applied Science,
Professor of Chemical and Biological Engineering

Department of Chemical and Biological Engineering
Princeton University
Princeton, N.J. 08544-5263
USA

Tel : 609-258-4595 (Office)
Fax : 609-258-0211 (Department)
E-mail : [log in to unmask]
Homepage : http://titan.princeton.edu
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