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On the Worst-Case Convergence of MR and CG for Symmetric Positive Definite Tridiagonal Toeplitz Matrices
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SYSNO 0031798 Title On the Worst-Case Convergence of MR and CG for Symmetric Positive Definite Tridiagonal Toeplitz Matrices Title O nejhorší konvergenci MR a CG pro symetrické pozitivně definitní třídiagonální toeplitzovské matice Author(s) Liesen, J. (DE)
Tichý, Petr (UIVT-O) SAI, RID, ORCIDSource Title Electronic Transactions on Numerical Analysis. Roč. 20, - (2005), s. 180-197. - : Kent State University Document Type Článek v odborném periodiku Grant KJB1030306 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR), CZ - Czech Republic CEZ AV0Z10300504 - UIVT-O (2005-2011) Language eng Country US Keywords Krylov subspace methods * conjugate gradient method * minimal residual method * convergence analysis * tridiagonal Toeplitz matrices * Poisson equation URL http://etna.mcs.kent.edu/volumes/2001-2010/vol20/abstract.php?vol=20&pages=180-197 Permanent Link http://hdl.handle.net/11104/0132446 File Download Size Commentary Version Access 0031798.pdf 1 444.4 KB Author´s preprint open-access
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