HIGHLIGHTED TOPICS
- Iterative Linear Algebraic Data Mining Techniques
- Optimization of Complex Problems/Systems (PDE-constrained optimization, optimization under uncertainty, and simulation-based optimization)
- Inverse problems, regularization
- Nonlinear solution methods, nonlinear least squares
- Eigenvalue and singular value methods and applications
- Iterative solvers/linear algebra on high concurrency node architectures
- Uncertainty quantification/PDEs with random data
- Hybrid direct-iterative solvers
- Solvers for indefinite systems
- Surrogate modeling/model reduction
- Low-rank solvers for Kronecker product systems
- Robust and scalable iterative solution of coupled multi-physics problems: electromagnetics/fluids
- Iterative methods in energy applications
- Iterative methods in imaging
- Quantum chemistry/physics
- Iterative solvers in climate applications
FORMAT
Morning and afternoon sessions will consist of
individual talks of approximately
25 minutes each, including time for questions.
WORKSHOPS AND TUTORIALS
The program will include informal
workshops
on special topics of interest.
See the online Program page
for information about the topics and schedule of the workshops
and tutorials.
SPECIAL FEATURES
- Student Papers
- Special Journal Issue