Friday, July 17

Waveform Relaxation Method for ODEs and PDEs

10:30 AM-12:30 PM
Room: Sidney Smith 2135

Waveform relaxation has been developed as an iterative method for the solution of ordinary differential equations. It can be easily implemented in parallel and can decoup stiff and non-stiff equations, making it very successful in some applications, most notably VLSI simulations. In recent years, however, waveform relaxation methods attracted the attention of researchers working in the area of numerical PDEs. It has been demonstrated that waveform relaxation is related to and can be successfully combined with other techniques, such as domain decomposition and multigrid. The speakers in this minisymposium will discuss waveform relaxation for non-autonomous problems, the impact of boundary conditions on the convergence rate of the method and the use of fast direct solvers as preconditioners.

Organizers: Sigitas Keras
University of Toronto, Canada
Martin J. Gander
CMAP, Ecole Polytechnique, France
10:30 Waveform Relaxation Methods
Andrew Lumsdaine, University of Notre Dame; Mark Reichelt, The MathWorks Inc.; and Jacob White, Massachusetts Institute of Technology
11:00 Waveform Relaxation for Non-Autonomous ODEs
Sigitas Keras, Organizer
11:30 Boundary Conditions to Improve the Convergence Rate of Waveform Relaxation for PDEs
Martin J. Gander, Organizer
12:00 Fast Direct Methods as Preconditioner in Waveform Relaxation for Ordinary and Delay Differential Equations
Jo Simoens and Stefan Vandewalle, Katholieke Universiteit Leuven, Belgium

Program Program Overview Program-at-a-Glance Program Updates Speaker Index Registration Hotel Transportation

LMH Created: 3/19/98; MMD Updated: 5/19/98