Nanotech 2004 Vol. 2 Technical Proceedings of the 2004 NSTI Nanotechnology Conference and Trade Show, Volume 2   Chapter 8: Computational Methods and Numerics
	Error Estimation for Arnoldi-based Model Order REduction of MEMS
Authors:	T. Bechtold, E.B. Rudnyi and J.G. Korvink
Affilation:	University of Freiburg, Germany, DE
Pages:	430 - 433
Keywords:	error estimate, Arnoldi algorithm
Abstract:	In this paper we present a heuristic error estimation for the Pade-type approximation of transfer function via Arnoldi algorithm. We suggest using the solution of the Lyapunov equations for reduced-order systems as a stop-criterion in an iterative model order reduction. We further propose a convergence criterion between each two 'neighbored' reduced models of the order r and r+1.
	View paper
ISBN:	0-9728422-8-4
Pages:	519
Hardcopy:	$99.95
Order:	Mail/Fax Form
Special:	3 CD Set — 15% off with Free Shipping
Up