Volume 41, pp. 13-20, 2014.
A note on preconditioners and scalar products in Krylov subspace methods for self-adjoint problems in Hilbert space
Andreas Günnel, Roland Herzog, and Ekkehard Sachs
Abstract
The conjugate gradient and minimal residual methods for the solution of linear systems $A x = b$ are considered. The operator $A$ is bounded and self-adjoint and maps a Hilbert space $X$ into its dual $X^*$. This setting is natural for variational problems such as those involving linear partial differential equations. The derivation of the two methods in Hilbert spaces shows that the choice of a preconditioner is equivalent to the choice of the scalar product in $X$.
Full Text (PDF) [115 KB], BibTeX
Key words
Krylov subspace methods, preconditioners, scalar products, Hilbert spaces, Riesz isomorphism
AMS subject classifications
65F10, 65F08
ETNA articles which cite this article
Vol. 50 (2018), pp. 1-19 Stefano Pozza, Miroslav S. Pranić, and Zdeněk Strakoš: The Lanczos algorithm and complex Gauss quadrature |
< Back