10:30 AM-12:30 PM
Non-normal matrix eigenvalue problems arise in a variety of physical and engineering applications, most prominently in stability analyses: of electrical networks; of flutter phenomena in aeronautics; of ordinary differential equations; of numerical methods for the solution of partial differential equations; and of Markov chains. Non-normal eigenvalue problems are more difficult to solve than normal (e.g. symmetric, Hermitian) problems because eigenvalues and invariant subspaces can be highly sensitive to changes in the matrix. Part I of the minisymposium deals with perturbation theory, in particular with reliable indicators for measuring the sensitivity of eigen information. Part II examines how non-normality affects the behavior of numerical methods for solving eigenvalue problems.
Organizer: Ilse C. F. Ipsen
North Carolina State University
AN97 Homepage | Program Updates|
Registration | Hotel and Dormitory Information | Transportation | Program-at-a-Glance | Program Overview