Tuesday,
March 27, 4:00 p.m. PSA 206
Andrew Wathen
Computing Lab, Oxford University
Matrix Iterations and Saddle-Point Systems: from Optimization to
Navier-Stokes and back
Abstract
Iterative methods can be the only feasible way to tackle linear(ized)
problems of very large size. We will give a brief description of
candidate methods and then focus on the specific but widely arising
case of saddle-point systems: systems which arise in any problem with
constraints. We will show similar approaches for constrained optimization
and incompressible Navier-Stokes problems and indicate how they can
be combined for design problems involving fluid flows.
For further information please contact:
mittelmann@asu.edu