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On the Worst-Case Convergence of MR and CG for Symmetric Positive Definite Tridiagonal Toeplitz Matrices
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$a On the Worst-Case Convergence of MR and CG for Symmetric Positive Definite Tridiagonal Toeplitz Matrices 215 $a 18 s. 463 -1
$1 001 cav_un_epca*0258328 $1 011 $a 1068-9613 $e 1068-9613 $1 200 1 $a Electronic Transactions on Numerical Analysis $v Roč. 20, - (2005), s. 180-197 $1 210 $c Kent State University 541 1-
$a O nejhorší konvergenci MR a CG pro symetrické pozitivně definitní třídiagonální toeplitzovské matice $z cze 610 0-
$a Krylov subspace methods 610 0-
$a conjugate gradient method 610 0-
$a minimal residual method 610 0-
$a convergence analysis 610 0-
$a tridiagonal Toeplitz matrices 610 0-
$a Poisson equation 700 -1
$3 cav_un_auth*0015015 $a Liesen $b J. $y DE $4 070 701 -1
$3 cav_un_auth*0100847 $a Tichý $b Petr $p UIVT-O $w Department of Computational Mathematics $4 070 $T Ústav informatiky AV ČR, v. v. i. 856 $u http://etna.mcs.kent.edu/volumes/2001-2010/vol20/abstract.php?vol=20&pages=180-197
Number of the records: 1