Volume 7, pp. 56-74, 1998.

A block Rayleigh quotient iteration with local quadratic convergence

Jean-Luc Fattebert


We present an iterative method, based on a block generalization of the Rayleigh Quotient Iteration method, to search for the $p$ lowest eigenpairs of the generalized matrix eigenvalue problem $Au=\lambda Bu$. We prove its local quadratic convergence when $B^{-1}A$ is symmetric. The benefits of this method are the well-conditioned linear systems produced and the ability to treat multiple or nearly degenerate eigenvalues.

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Key words

Subspace iteration, Rayleigh Quotient Iteration, Rayleigh-Ritz procedure.

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ETNA articles which cite this article

Vol. 31 (2008), pp. 295-305 Hubert Schwetlick and Kathrin Schreiber: A counterexample for characterizing an invariant subspace of a matrix

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