Subspace iterative methods for eigenvalue problems

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents novel perturbation bounds for generalized symmetric positive definite eigenvalue problems. The bounds provide the insights for an observed computational phenomenon that is not easily explained by the existing bounds developed previously. Using the new bounds, we provide an analysis of a subspace Newton type procedure for computing a few extreme eigenpairs for generalized symmetric positive definite systems. A preconditioned version of this subspace iterative method is also studied.

Original languageEnglish (US)
Pages (from-to)239-258
Number of pages20
JournalLinear Algebra and Its Applications
Volume294
Issue number1-3
DOIs
StatePublished - Jun 15 1999
Externally publishedYes

Keywords

  • Domain decomposition
  • Eigenvalue problem
  • Fictitious domain
  • Inverse iteration
  • Precondition
  • Rayleigh quotient
  • Schwarz
  • Subspace approximation
  • Subspace decomposition

ASJC Scopus subject areas

  • Algebra and Number Theory
  • Numerical Analysis
  • Geometry and Topology
  • Discrete Mathematics and Combinatorics

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