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Conjugate Gradient Methods for Saddle Point Systems

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    SYSNO ASEP0403740
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleConjugate Gradient Methods for Saddle Point Systems
    Author(s) Lukšan, Ladislav (UIVT-O) SAI, RID
    Vlček, Jan (UIVT-O) SAI, RID, ORCID
    Source TitleProceedings of the XIIIth summer school software and algorithms of numerical mathematics. - Plzeň : University of West Bohemia, 1999 - ISBN 80-7082-566-9
    Pagess. 223-230
    Number of pages8 s.
    ActionSANM'99. Summer School on Software and Algorithms of Numerical Mathematics /13./
    Event date06.09.1999-10.09.1999
    VEvent locationNečtiny
    CountryCZ - Czech Republic
    Languageeng - English
    CountryCZ - Czech Republic
    Subject RIVBA - General Mathematics
    R&D ProjectsIAA2030706 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    CEZ1030915
    AnnotationConjugate gradient methods have proved to be very efficient for solving saddle point systems, especially with indefinite preconditioning. These systems are idefinite and have a 2x2 block structure. We study various structured conjugate gradient methods and prove their theoretical properties.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2001

Number of the records: 1  

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