Inexact Inverse Iteration with Variable Shift for Nonsymmetric Generalized Eigenvalue Problems

Autor: Jo¨rg Berns-Mu¨ller, Alastair Spence
Rok vydání: 2006
Předmět:
Zdroj: SIAM Journal on Matrix Analysis and Applications. 28:1069-1082
ISSN: 1095-7162
0895-4798
DOI: 10.1137/050623255
Popis: In this paper we analyze inexact inverse iteration for the nonsymmetric generalized eigenvalue problem $\bf{A}\bf{x} = \lambda \bf{M}\bf{x}$, where $\bf{M}$ is symmetric positive definite and the problem is diagonalizable. Our analysis is designed to apply to the case when $\bf{A}$ and $\bf{M}$ are large and sparse and preconditioned iterative methods are used to solve shifted linear systems with coefficient matrix $\bf{A}-\sigma \bf{M}$. We prove a convergence result for the variable shift case (for example, where the shift is the Rayleigh quotient) which extends current results for the case of a fixed shift. Additionally, we consider the approach from [V. Simoncini and L. Elde´n, BIT, 42 (2002), pp. 159-182] to modify the right-hand side when using preconditioned solves. Several numerical experiments are presented that illustrate the theory and provide a basis for the discussion of practical issues.
Databáze: OpenAIRE