Krylov Subspace Methods for Sadddle Point Problems with Indefinite Preconditioning.

Result code in IS VaVaI

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Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Krylov Subspace Methods for Sadddle Point Problems with Indefinite Preconditioning.

Original language description

In this paper we analyze the null-space projection (constraint) indefinite preconditioner applied to the solution of large-scale saddle point problems. Nonsymmetric Krylov subspace solvers are analyzed; moreover, it is shown that the behavior of short-term recurrence methods can be related to the behavior of preconditioned conjugate gradient method (PCG). Theoretical properties of PCG are studied in detail and simple procedures for correcting possible misconvergence are proposed. The numerical behavior...

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BA - General mathematics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SIAM Journal on Matrix Analysis and Applications

ISSN

0895-4798

e-ISSN

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Volume of the periodical

24

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

24

Pages from-to

368-391

UT code for WoS article

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EID of the result in the Scopus database

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