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conference will address complex issues related to the solution of general sparse
linear systems of equations in real applications, or specifically in an industrial
setting. It is often observed that the issues of interest to industrial users of
linear systems solution software are fairly different from those the academic community
is focussed on. In an industrial context, improving robustness is more important
than finding a method to gain speed. Memory usage is also an important consideration
seldom accounted for in academic research on sparse solvers. Finally, linear systems
solved in applications are almost always part of some nonlinear iteration (e.g.,
Newton) or optimization loop, and it is important to consider the coupling between
the linear and nonlinear parts instead of focussing on the linear system alone.
Poster papers
The program committee has issued a call for poster papers related to the conference's
themes and motivations. The deadline for submitting poster paper abstracts is April
22, 1999. Poster paper abstracts should be submitted to:
Sparse-99
Supercomputing Institute
University of Minnesota
1200 Washington Avenue South
Minneapolis, MN 55415
or, abstracts can be submitted electronically (postscript) to: sparse99@msi.umn.edu
The maximum length of the abstract should be one (1) page.
Speakers and Topics
Raymond Honfu Chan, Chinese University of Hong Kong, Hong Kong
Preconditioning Techniques for Toeplitz Systems and their Applications in High-Resolution
Image Reconstruction
Edmond Chow, Lawrence Livermore National Laboratory
Parallel Preconditioning for Multiphysics Simulations with Sliding Interfaces
Howard C. Elman, University of Maryland
The Schur Complement and Preconditioners for Saddle Point Problems
Charbel Farhat, University of Colorado at Boulder
Recent Advances in the FETI Method for Structural Mechanics and Acoustic Scattering
Problems
Peter A. Forsyth, University of Waterloo, Canada
Iterative Methods for Multi-factor Option Pricing
David Keyes, NASA Langley Research Center
Newton-Krylov Methods with Multilevel Preconditioning: Algorithm-Architecture Trade-offs
in the Number of Levels
John G. Lewis and Daniel J. Pierce, Boeing Computer Services
Iterative Solution of Sparse Symmetric Linear Systems from Interior Point Methods
Maya Neytcheva, University of Nijimegen, The Netherlands
Fully Parallel Interface Domain Decomposition Method for Finite Element Elliptic
Problems
Willy H.A. Schilders, Philips Research Laboratories, The Netherlands and Henk
A. van der Vorst, Utrecht University, The Netherlands
Preconditioning Techniques for Indefinite Linear Systems with Applications to Circuit
Simulation
Justin Wan, Stanford University
Interface Preserving Coarsening and Energy-Minimizing Interpolation Multigrid Methods
for Discontinuous Coefficient PDEs
More Information
Additional information regarding the conference, presenting a poster paper, travel
support, and registering for the conference is available
on the World Wide Web at www.msi.umn.edu/general/Symposia/sparse99
by sending email to sparse99@msi.umn.edu
or by contacting Kay Anderson, the Conference Administrator, at (612) 624-1356 |
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Computational Neuroscience Program of the University of Minnesota, in conjunction
with the Department of Neuroscience, the Graduate Programs in Scientific Computation
and Neuroscience, and the Supercomputing Institute for Digital Simulation and Advanced
Computation, will host a symposium on computational neuroscience on October 7 and
8 at the University of Minnesota campus. Topics include molecular mechanisms in ion
channels, signal transduction, neurotransmission and receptors, computational models
of vistibular and oculomotor control, robotics and computer vision, and neural network
models.
Speakers and Topics
Dora Angelaki, Washington University School of Medicine
Coding of Movement in Inertial Space: Computational Problems and Neuronal Strategies
Andrew Barto, University of Massachusetts
Learning to Reach via Corrective Movements: A Neural Model
Stephen Cannon, Harvard University
Chaotic Consequences of Sodium Channel Mutations that Disrupt Inactivation
Henrietta Galiana, McGill University
The Role of Central Topology in Sensory Fusion for Oculomotor Control
Gregory Hager, Yale University
Vision-based Tracking and Manipulation of 3-D Objects: The Argument Against Reconstruction
Mitsuo Kawato, Advanced Telecommunications Research Institute, Japan
Cerebellar Internal Models for Robotics and Cognition
Tommy Liljefors, Royal Danish School of Pharmacy, Denmark
Computational Studies of Molecular Properties of Neurotransmitter Receptor Ligands
in relation to their Receptor Binding
Steven Lisberger, University of California–San Francisco
How Visual Motion Signals for Pursuit are Represented in and Decoded from the Cortical
Motion Areas
Mark Sansom, Oxford University, England
Simulation Studies of K+ channels
Laurence Trussell, University of Wisconsin-Madison
The Dynamics of Transmitter Release and its Role in Shaping Neural Responses
Harel Weinstein, Mt. Sinai School of Medicine
Computational Experiments Reveal Molecular Mechanisms in Signal Transduction by Membrane
Proteins
Program Committee
Timothy Ebner, Department of Neuroscience, Co-Chair
Vipin Kumar, Department of Computer Science and Engineering, Co-Chair
Donald Truhlar, Department of Chemistry, Co-Chair
Linda Boland, Department of Neuroscience
Daniel Boley, Department of Computer Science and Engineering
Apostolos Georgopoulos, Department of Neuroscience
Daniel Kersten, Department of Psychology
Robert Miller, Department of Physiology
Nikolaos Papanikolopoulos, Department of Computer Science and Engineering
John Soechting, Department of Neuroscience
Jaideep Srivastava, Department of Computer Science and Engineering
David Thomas, Department of Biochemistry, Molecular Biology, and Biophysics
Lawrence Wackett, Department of Biochemistry, Molecular Biology, and Biophysics
George Wilcox, Department of Pharmacology
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