Constraint preconditioning for indefinite linear systems

The problem of finding good preconditioners for the numerical solution of indefinite linear systems is considered. Special emphasis is put on preconditioners that have a 2 × 2 block structure and that incorporate the (1, 2) and (2, 1) blocks of the original matrix. Results concerning the spectrum an...

Full description

Bibliographic Details
Main Authors: Keller, C, Gould, N, Wathen, A
Format: Journal article
Language:English
Published: 2000
_version_ 1797075598522187776
author Keller, C
Gould, N
Wathen, A
author_facet Keller, C
Gould, N
Wathen, A
author_sort Keller, C
collection OXFORD
description The problem of finding good preconditioners for the numerical solution of indefinite linear systems is considered. Special emphasis is put on preconditioners that have a 2 × 2 block structure and that incorporate the (1, 2) and (2, 1) blocks of the original matrix. Results concerning the spectrum and form of the eigenvectors of the preconditioned matrix and its minimum polynomial are given. The consequences of these results are considered for a variety of Krylov subspace methods. Numerical experiments validate these conclusions.
first_indexed 2024-03-06T23:52:34Z
format Journal article
id oxford-uuid:731bfe4a-07a4-48b1-bfe9-d686be47d922
institution University of Oxford
language English
last_indexed 2024-03-06T23:52:34Z
publishDate 2000
record_format dspace
spelling oxford-uuid:731bfe4a-07a4-48b1-bfe9-d686be47d9222022-03-26T19:54:17ZConstraint preconditioning for indefinite linear systemsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:731bfe4a-07a4-48b1-bfe9-d686be47d922EnglishSymplectic Elements at Oxford2000Keller, CGould, NWathen, AThe problem of finding good preconditioners for the numerical solution of indefinite linear systems is considered. Special emphasis is put on preconditioners that have a 2 × 2 block structure and that incorporate the (1, 2) and (2, 1) blocks of the original matrix. Results concerning the spectrum and form of the eigenvectors of the preconditioned matrix and its minimum polynomial are given. The consequences of these results are considered for a variety of Krylov subspace methods. Numerical experiments validate these conclusions.
spellingShingle Keller, C
Gould, N
Wathen, A
Constraint preconditioning for indefinite linear systems
title Constraint preconditioning for indefinite linear systems
title_full Constraint preconditioning for indefinite linear systems
title_fullStr Constraint preconditioning for indefinite linear systems
title_full_unstemmed Constraint preconditioning for indefinite linear systems
title_short Constraint preconditioning for indefinite linear systems
title_sort constraint preconditioning for indefinite linear systems
work_keys_str_mv AT kellerc constraintpreconditioningforindefinitelinearsystems
AT gouldn constraintpreconditioningforindefinitelinearsystems
AT wathena constraintpreconditioningforindefinitelinearsystems