On optimal short recurrences for generating orthogonal Krylov subspace bases

dc.contributor.authorLiesen, Jörg
dc.contributor.authorStrakoš, Zdenek
dc.date.accessioned2017-12-19T15:29:17Z
dc.date.available2017-12-19T15:29:17Z
dc.date.issued2008-08-05
dc.description.abstractWe analyze necessary and sufficient conditions on a nonsingular matrix A such that, for any initial vector $r_0$, an orthogonal basis of the Krylov subspaces ${\cal K}_n(A,r_0)$ is generated by a short recurrence. Orthogonality here is meant with respect to some unspecified positive definite inner product. This question is closely related to the question of existence of optimal Krylov subspace solvers for linear algebraic systems, where optimal means the smallest possible error in the norm induced by the given inner product. The conditions on A we deal with were first derived and characterized more than 20 years ago by Faber and Manteuffel (SIAM J. Numer. Anal., 21 (1984), pp. 352–362). Their main theorem is often quoted and appears to be widely known. Its details and underlying concepts, however, are quite intricate, with some subtleties not covered in the literature we are aware of. Our paper aims to present and clarify the existing important results in the context of the Faber–Manteuffel theorem. Furthermore, we review attempts to find an easier proof of the theorem and explain what remains to be done in order to complete that task.en
dc.identifier.eissn1095-7200
dc.identifier.issn0036-1445
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7287
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6560
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc518 Numerische Analysisde
dc.subject.ddc512 Algebrade
dc.subject.otherKrylov subspace methodsen
dc.subject.otherorthogonal basesen
dc.subject.othershort recurrencesen
dc.subject.otherconjugate gradient-like methodsen
dc.titleOn optimal short recurrences for generating orthogonal Krylov subspace basesen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1137/060662149en
dcterms.bibliographicCitation.issue3en
dcterms.bibliographicCitation.journaltitleSIAM Reviewen
dcterms.bibliographicCitation.originalpublishernameSociety for Industrial and Applied Mathematicsen
dcterms.bibliographicCitation.originalpublisherplacePhiladelphia, Paen
dcterms.bibliographicCitation.pageend503en
dcterms.bibliographicCitation.pagestart485en
dcterms.bibliographicCitation.volume50en
tub.accessrights.dnbdomainen
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Mathematik::FG Numerische Lineare Algebrade
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.groupFG Numerische Lineare Algebrade
tub.affiliation.instituteInst. Mathematikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

Files

Original bundle
Now showing 1 - 1 of 1
Loading…
Thumbnail Image
Name:
2008_Liesen_et-al.pdf
Size:
493.19 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
5.75 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections