C-344 Padelford Hall

Department of Mathematics, Box 354350

University of Washington

Seattle, WA 98195-4350

Tel: (206) 543-1177

Fax: (206) 543-0397

Email: * my last name@math.washington.edu* (trying to avoid spam)

**Background:**
I received my B.Sc. from
Queens University (Canada) in 1981 and
my Ph.D. from
Massachusetts Institute of Technology (U.S.A.) in 1986. After spending one year at the
University of British Columbia and three years at Massachusetts Institute of Technology, I came to the University of Washington in 1990.
My research area is mainly in continuous optimization, with side
interests in discrete optimization, distributed
computation, network and graph algorithms. My free-time interests include
drawing/painting, various sports, and traveling (preferrably by bicycle or kayak)
to anywhere in the world.
Here are photos from my
bicycling trips, 1986-2000 ,
kayaking trips, 2001
on the Danube and elsewhere,
kayaking trip, 2002 on the Mekong,
bicycling trip, 2003 along the Baltic shores,
backpacking trip, 2004 in Kenya,
kayaking trips, 2005 on the Nile, Red Sea, and Vancouver Island,
kayaking trips, 2006 on the Danube and Yellow River, China,
kayaking trips, 2008 on the Rio Madre de Dios, Peru, a headwater
tributary of the Amazon river.

**Web Philosophy:**
Minimalism.

My Recent
Research Papers
Fortran
relaxation codes
for nonlinear cost generalized network flow (updated on March 2005)
Fortran auction and relaxation codes for assignment/shortest path/linear cost
network flow
Matlab code of coordinate gradient descent (CGD) method
for unconstrained
optimization with l_{1}-regularization (updated on December 2007)
Applications in Signal Denoising
Applications in Protein Folding
Optimization Seminar
West Coast Optimization Meeting, Spring edition (the next one is May 2, 2009)
Upcoming conf./workshops:
OPTIMA09 (March 25-27 2009) ,
SPARS09 (April 6-9 2009) ,
ISMP (August 23-28 2009) ,
Combinatorial
Optimization at Work (Sept 21--Oct 9 2009)

ICNONLA 2009 talk, Lijiang, August 2009
(ESDP and SDP Relaxation of Sensor Network Localization)
OptimA talk, Univ. Illinois,
March 2009 (Large-Scale Convex Optimization over Matrices for Multi-task Learning)
South California Optimization Day talk, San Diego,
March 2009 (ESDP and SDP Relaxation of Sensor Network Localization)
IASI seminar talk, Rome,
September 2008 (On ESDP and SDP Relaxation of Sensor Network Localization)
SIMAI minisymposium talk, Rome, September 2008
(Gradient Methods for Sparse Optimization with Nonsmooth Regularization)
MOPTA talk,
August 2008 (Accelerated Proximal Gradient Methods for
Convex Optimization)
Kyungpook National University seminar talk,
February 2008
The Chinese University of Hong Kong seminar talk,
February 2008 (On ESDP Relaxation of Sensor Network Localization)
Hong Kong Polytechnic Univ. seminar talk, February 2008
(Block-Coordinatewise Methods for Sparse Optimization with Nonsmooth Regularization)
INFORMS talk, November 2007
(Parametrized Variational Inequality Approaches to the Generalized Nash
Equilibrium Problem)
WCOM, Kelowna talk, October 2007
(From Evolutionary Biology to Interior-Point Methods)
ICCOPT 2007 talk, August 2007
(Coordinatewise Distributed Methods for Large Scale Convex Optimization)
UBC CS seminar talk, April 2007
(Gauss-Seidel for Constrained Nonsmooth Optimization and Applications)
Banff BIRS workshop talk, Nov 2006
(pOCP relaxation of sensor network localization)
Taiwan Normal University workshop talk,
March 2006 (Optimization methods with signal denoising applications)
Univ. Vienna talk, June 2006
(SOCP relaxation of sensor network localization)
talk at MIT, March 2006
(SDP relaxation of quadratic optimization with few homogeneous quadratic constraints)
SIOPT talk at Stockholm, May 2005 (Smoothing methods for second-order cone
programs/complementarity problems)

Math 582B (Winter 2009)

Math 409 (Spring 2009)

Math 516 (Spring 2009)

Math Quotes

The UW Math Club
is alive and well. Visit its new webpage for the latest happenings.

Jein-Shan Chen (2004),
Sangwoon Yun (2007)
Ting Kei Pong (200?)

Job opportunities in optimization

MathAcrossCampus
Math Programming Society
Institute for Operations Research and Management Sciences
American Mathematical Society
Optimization Technology Center at Argonne National Laboratory
Terry Rockafellar's home page
Al Goldstein's free classical music archive
A list of fun math sites from San Francisco Exploratorium

A Simplex method:

In a simplex method of Nelder-Mead type, a simplex is reflected with
respect to a point on its boundary.
The top figure shows the reflected simplex (drawn in red dashed line)
when the point (the black dot) is the centroid of three vertices
*a, b, c*.
The middle figure shows the reflected simplex
when the point is the centroid of two vertices *a, b*.
The bottom figure shows the reflected simplex when the point is
the vertex *a*.