Program
The complete
final program is available
as a pdf file.
Here are the late changes to the program.
The schedule is also available
as an html file, updated to include late changes.
The abstracts
are also available as an html file, with hyperlinks
from the index.
The Summer School Program is available
as an html file
or as a pdf file.
Structure of the conference
The conference will consist of a mixture of plenary, semiplenary,
invited, and contributed talks, with at most four sessions
scheduled in parallel.
We anticipate that one of the semi-plenary time slots
will be devoted to selected student presentations.
Participants are encouraged to submit their papers to
Optimization Online,
a repository of eprints about optimization and related topics.
In addition, selected papers will appear in a special issue of
Mathematical
Programming Series B.
Plenary speakers
Semi-plenary speakers
Minisymposium organizers
Minisymposium organizers include the following:
- Kristin Bennett,
email:
bennek at rpi.edu
- Philip Gill,
email:
pgill at ucsd.edu
- Tim Kelley,
email: tim_kelley at ncsu.edu
- Tamara Kolda,
email:
tgkolda at sandia.gov
- Friedemann
Leibfritz,
email:
leibfr at uni-trier.de
- Adam Levy,
email:
alevy at bowdoin.edu
- Zhi-Quan (Tom) Luo,
email:
luozq at ece.umn.edu
- Boris Mordukhovich,
email:
boris at math.wayne.edu
- Pablo Parrilo,
email:
parrilo at control.ee.ethz.ch
- Roman Polyak,
email:
rpolyak at gmu.edu
- Rembert
Reemtsen,
email:
reemtsen at
math.tu-cottbus.de
- Defeng Sun,
email:
matsundf at nus.edu.sg
- Kim Chuan Toh,
email:
mattohkc at math.nus.edu.sg
- Michael
Ulbrich, email:
ulbrich at math.uni-hamburg.de
- Andreas Wachter,
email:
andreasw at watson.ibm.com
- Roger Wets,
email: rjbwets at ucdavis.edu
- Henry Wolkowicz,
email:
hwolkowicz at uwaterloo.ca
Topics
The topics of the conference include the following:
- linear, nonlinear, and convex programming
- equilibrium programming
- semidefinite and conic programming
- stochastic programming
- complementarity and variational inequalities
- nonsmooth and variational analysis
- nonconvex and global optimization
- optimization of partial differential systems
- applications in engineering, economics, finance, statistics,
game theory, and bioinformatics
- energy modeling and electric power market modeling
- optimization over computing grids
- modeling languages and web-based optimization systems.
Within each of these topics, there are significant new developments and
unsolved problems, as well as classical issues awaiting resolution. To name
a few of the exciting recent developments in continuous optimization, we mention
robust optimization via semidefinite and conic programming, optimization of
matrix-valued functions, mathematical programming with equilibrium constraints,
multidisciplinary optimization involving partial differential equations,
differential variational systems, and optimization involving nonsmooth functions
.
Applications of optimization continue to expand; a small sample of important
topics with recent interest includes: digital communication in electrical
engineering, mechanical designs under frictional contact, statistical learning
theory, stem cell differentiation in bio-informatics, value-at-risk optimization
in risk analysis, complementarity approach to electric power market modeling,
and hybrid engineering systems.
Advances in continuous optimization have opened
new mathematical fields; an example is nonsmooth analysis, which is a contemporary
branch of mathematics that is derived from continuous optimization, whose impact
has now extended beyond its original source and is reshaping fundamental problems
in mechanics and economics. Complex game-theoretic problems lead to new optimization
and equilibrium paradigms; examples are hierarchical and inverse optimization as
well
as equilibrium problems with equilibrium constraints. Research in these novel
paradigms
is almost non-existent and is desperately in need of systematic investigation.
The
advance of grid computing is beginning to have an effect on algorithm design for
solving difficult and large-scale optimization problems; research in this direction
is very much in its infancy and deserves the attention of continuous optimizers.
Bio-informatics and planning problems in medicine (such as cancer treatment) offer
excellent opportunities for creative application of continuous optimization.
Summer school
The conference will be preceded by a
summer school for graduate students,
junior faculty, and other interested participants,
which will describe some of the recent exciting developments
in continuous optimization.
Return to conference homepage.
Mail corrections to links to
Bridget Beelen.