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

0031798 - UIVT-O 336121 RIV US eng J - Journal Article
Liesen, J. - Tichý, Petr
On the Worst-Case Convergence of MR and CG for Symmetric Positive Definite Tridiagonal Toeplitz Matrices.
[O nejhorší konvergenci MR a CG pro symetrické pozitivně definitní třídiagonální toeplitzovské matice.]
Electronic Transactions on Numerical Analysis. Roč. 20, - (2005), s. 180-197. ISSN 1068-9613. E-ISSN 1068-9613
R&D Projects: GA AV ČR(CZ) KJB1030306
Institutional research plan: CEZ:AV0Z10300504
Keywords : Krylov subspace methods * conjugate gradient method * minimal residual method * convergence analysis * tridiagonal Toeplitz matrices * Poisson equation
Subject RIV: BA - General Mathematics
Impact factor: 0.608, year: 2005
http://etna.mcs.kent.edu/volumes/2001-2010/vol20/abstract.php?vol=20&pages=180-197
Permanent Link: http://hdl.handle.net/11104/0132446