Program
DIMACS Workshop on Semidefinite Programming and Large Scale Discrete
Optimization
January 7 - 9, 1999
Computer Science Building, Princeton University, Princeton, NJ
Thursday, January 7, 1999
08:00 - 08:30 Registration
08:30 - 08:40 Welcome, Robert Vanderbei, Workshop co-organizer
Plenary
08:40 - 09:30 Kurt Anstreicher,
Eigenvalue Bounds versus Semidefinite
Relaxations for the Quadratic Assignment Problem
Applications Session -- Mostly Graph Theory
09:30 - 10:00 Gabor Pataki,
A Characterization of Conic Linear Systems with a Duality Gap
10:00 - 10:30 Renato Monteiro,
An efficient algorithm for solving the maximum
cut SDP relaxation problem
10:30 - 11:00 Coffee
11:00 - 11:30 Etienne de Klerk,
Semidefinite Programming Approaches for SAT and
MAX-SAT
11:30 - 12:00 Bill Hager,
Graph Partitioning and Continuous Quadratic
Programming
12:00 - 12:30 Steven Benson,
A Dual Scaling Algorithm for Positive semidefinite
Programming
12:30 - 01:30 Lunch
Plenary
01:40 - 02:30 Dimitris Bertsimas,
Moment problems, stochastic optimization, and
semidefinite programming
Theory Session
02:30 - 03:00 Michael Overton,
Conditioning and Degeneracy of Semidefinite
Programs
03:00 - 03:30 Robert Freund,
Pre-Conditioners and Relations Between Different
Condition Measures for Semi-Definite Programs and
Conic Linear Systems
03:30 - 04:00 Coffee
04:00 - 04:30 Masakazu Muramatsu,
A Class of Directly Solvable Semidefinite
Programming Problems
04:30 - 05:00 Bahman Kalantari,
Scaling Dualities and Self-Concordant Homogeneous Programming
in Finite Dimensional Spaces
05:00 - 05:30 Franz Rendl,
Semidefinite Programs and Association Schemes
05:30 - 06:00 Jim Renegar,
A clearer understanding of self-scaled cones
Friday, January 8, 1999
Plenary
08:40 - 09:30 Michael Todd,
Interior-Point Methods for Semidefinite Programming
Algorithms Session
09:30 - 10:00 Leonid Faybusovich,
On the numerical integration of affine-scaling vector fields
10:00 - 10:30 Kees Roos,
A New Path-following Algorithm for Semidefinite Optimization
10:30 - 11:00 Coffee
11:00 - 11:30 Osman Guler,
Symmetric Cones and their Barrier Functions
11:30 - 12:00 Michael Zibulevsky,
Penalty/Barrier Multiplier Algorithm for Semidefinite
Programming: Dual Bounds and Implementation
12:00 - 12:30 Florian Potra,
Nonsymmetric Search Directions for Semidefinite Programming
12:30 - 01:30 Lunch
Plenary
01:40 - 02:30 Christof Helmberg,
Solving Semidefinite Relaxations with the Spectral Bundle Method
Applications Session -- Mostly not Graph Theory
02:30 - 03:00 Zhi-Quan Luo,
Orthogonal Waveform Design via Semidefinite Programming
03:00 - 03:30 Yin Zhang,
Computational experience with interior-point
algorithms for the maximally inscribing ellipsoid problem
03:30 - 04:00 Coffee
04:00 - 04:30 Vera Kovacevic-Vujcic,
Semidefinite Relaxations of Traveling Salesman Problem
04:30 - 05:00 Guoliang Xue,
Computing the Shortest Network with 45 Degree Routing under a
Tree Topology
05:00 - 05:30 Takashi Tsuchiya,
Polynomial primal-dual path-following algorithms for
second-order cone programming based on the MZ-family
of search directions
05:30 - 06:00 Paul Tseng,
Accelerating local convergence of interior-point methods
for NLP and SDP
Saturday, January 9, 1999
Plenary
08:40 - 09:30 David Williamson,
Semidefinite Programming and Approximation Algorithms
Cone Programming
09:30 - 10:00 Katya Scheinberg,
Solving Second Order Cone Programs in an Efficient and
Numerically Stable Way
10:00 - 10:30 Farid Alizadeh,
Associative Algebras, Symmetric Cones and Primal-dual
Interior Point Algorithms
10:30 - 11:00 Coffee
11:00 - 11:30 Stefan Schmieta,
Sparse matrices and numerical stability in convex quadratically
constrained optimization
11:30 - 12:00 Robert Vanderbei,
Using LOQO to Solve Second-Order Cone Programming Problem
12:00 - 12:30 Tamas Terlaky,
Notes on second- and $p-$order conic programming--duality and
solvability
12:30 - 01:30 Lunch
Plenary
01:40 - 02:30 Masakazu Kojima,
Discretization and Localization in Successive Convex Relaxation
Methods for Nonconvex Quadratic Optimization Problems
Algorithms Session--Mostly Nonconvex QP Stuff
02:30 - 03:00 Levent Tuncel,
Cones of matrices and successive convex relaxations
of nonconvex sets
03:00 - 03:30 Shuzhong Zhang,
Quadratic Maximization and Semidefinite Relaxation
03:30 - 04:00 Coffee
04:00 - 04:30 Lorant Porkolab,
A Linear-time Algorithm for Semidefinite Optimization in Fixed
Dimension
04:30 - 05:00 Florian Jarre,
A QQP-Minimization Method for Semidefinite and Smooth Nonconvex
Programs
05:00 - 05:30 Yinyu Ye,
Approximating global quadratic optimization
with convex quadratic constraints
05:30 - 06:00 Jeffrey Coleman,
Design of Digital Filters and Narrowband
Antenna Arrays using Second-Order Cone Programs
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Document last modified on July 26, 1999.