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On the Worst-Case Convergence of MR and CG for Symmetric Positive Definite Tridiagonal Toeplitz Matrices

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    SYSNO0031798
    TitleOn the Worst-Case Convergence of MR and CG for Symmetric Positive Definite Tridiagonal Toeplitz Matrices
    TitleO nejhorší konvergenci MR a CG pro symetrické pozitivně definitní třídiagonální toeplitzovské matice
    Author(s) Liesen, J. (DE)
    Tichý, Petr (UIVT-O) SAI, RID, ORCID
    Source Title Electronic Transactions on Numerical Analysis. Roč. 20, - (2005), s. 180-197. - : Kent State University
    Document TypeČlánek v odborném periodiku
    Grant KJB1030306 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR), CZ - Czech Republic
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    Languageeng
    CountryUS
    Keywords Krylov subspace methods * conjugate gradient method * minimal residual method * convergence analysis * tridiagonal Toeplitz matrices * Poisson equation
    URLhttp://etna.mcs.kent.edu/volumes/2001-2010/vol20/abstract.php?vol=20&pages=180-197
    Permanent Linkhttp://hdl.handle.net/11104/0132446
    FileDownloadSizeCommentaryVersionAccess
    0031798.pdf1444.4 KBAuthor´s preprintopen-access
     
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