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arXiv · 2004.14002

Convergence Analysis of Extended LOBPCG for Computing Extreme Eigenvalues

Peter Benner·Xin Liang
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Abstract

This paper is concerned with the convergence analysis of an extended variation of the locally optimal preconditioned conjugate gradient method (LOBPCG) for the extreme eigenvalue of a Hermitian matrix polynomial which admits some extended form of Rayleigh quotient. This work is a generalization of the analysis by Ovtchinnikov (SIAM J. Numer. Anal., 46(5):2567-2592, 2008). As instances, the algorithms for definite matrix pairs and hyperbolic quadratic matrix polynomials are shown to be globally convergent and to have an asymptotically local convergence rate. Also, numerical examples are given to illustrate the convergence.

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Peter Benner, Xin Liang. 2020-04-29. Convergence Analysis of Extended LOBPCG for Computing Extreme Eigenvalues. https://doi.org/10.1002/nla.2445

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