id: 01424511
dt: a
an: 01424511
au: Gallivan, K.A.; Grimme, E.; Van Dooren, P.M.
ti: Model reduction of large-scale systems rational Krylov versus balancing
    techniques.
so: Bulgak, Haydar (ed.) et al., Error control and adaptivity in scientific
    computing. Proceedings of the NATO ASI, Antalya, Turkey, August 9-21,
    1998. Dordrecht: Kluwer Academic Publishers. NATO ASI Ser., Ser. C,
    Math. Phys. Sci. 536, 177-190 (1999).
py: 1999
pu: Dordrecht: Kluwer Academic Publishers
la: EN
cc: 
ut: projection methods; linear time-invariant dynamical system; rational Krylov
    methods; balancing transformations
ci: 
li: 
ab: Summary: We describe some recent developments in the use of projection
    methods to produce a reduced-order model for a linear time-invariant
    dynamical system which approximates its frequency response. We give an
    overview of the family of rational Krylov methods and compare them with
    “near-optimal” approximation methods based on balancing
    transformations.
rv: