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Preconditioned iterative methods for a class of nonlinear eigenvalue problems

Description

In this paper we develop new preconditioned
iterative methods for solving monotone nonlinear
eigenvalue problems. We investigate the convergence
and derive grid-independent error estimates for
these methods. Numerical experiments demonstrate
the practical effectiveness of the proposed methods
for a model problem.

Links & Downloads
  1. urn:nbn:de:swb:ch1-200601389
  2. https://monarch.qucosa.de/id/qucosa%3A18577
  3. https://monarch.qucosa.de/api/qucosa%3A18577/attachment/ATT-0/
  4. https://monarch.qucosa.de/api/qucosa%3A18577/attachment/ATT-2/
  5. https://monarch.qucosa.de/api/qucosa%3A18577/attachment/ATT-3/
  6. https://monarch.qucosa.de/api/qucosa%3A18577/attachment/ATT-4/
  7. https://monarch.qucosa.de/api/qucosa%3A18577/attachment/ATT-5/
  8. https://monarch.qucosa.de/api/qucosa%3A18577/attachment/ATT-6/
  9. https://monarch.qucosa.de/api/qucosa%3A18577/attachment/ATT-7/
  10. https://monarch.qucosa.de/api/qucosa%3A18577/attachment/ATT-8/
Tags
info:eu-repo/classification/ddc/510
ddc:510
Gradientenverfahren
Konjugierte-Gradienten-Methode
Nichtlineares Eigenwertproblem
Präkonditionierung
preconditioned iterative method
symmetric eigenvalue problem
Additional Fields
Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:18577
Date31 August 2006
CreatorsSolov'ëv, Sergey I.
PublisherTechnische Universität Chemnitz
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:preprint, info:eu-repo/semantics/preprint, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess

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