Abstract: In recent years, Krylov subspace methods have become widely-used tools for dimension reduction of large-scale linear dynamical systems. In this talk, we describe some basic properties of these methods, and discuss applications in VLSI circuit simulation. We also present some results about structure-preserving Krylov subspace-based reduction techniques for higher-order linear dynamical systems, and mention some open problems.
Future talks in Scientific Computing Seminar
April 7 : Jin-Fa Lee, The ElectroScience Laboratory, The Ohio State University. April 28 : Gene H Golub, Department of Computer Science, Stanford University.
This seminar is easily accessible to persons with disabilities. For more information or for assistance, please contact the Mathematics Department at 743-3500.