STANFORD UNIVERSITY

Stanford 50: State of the Art and Future Directions of Computational Mathematics and Numerical Computing

Information

  • March 30, 2007
  • 11:25 am - 11:50 am

Krylov subspace-based dimension reduction of large-scale linear dynamical systems

Roland Freund (UC Davis)

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, discuss a few applications, and mention some open problems.


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