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By how much can Residual Minimization Accelerate the Convergence of Orthogonal Residual Methods?
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$a 10.1023/A:1011889705659 $2 DOI 101 0-
$a eng $d eng 102 $a NL 200 1-
$a By how much can Residual Minimization Accelerate the Convergence of Orthogonal Residual Methods? 215 $a 25 s. 463 -1
$1 001 cav_un_epca*0254541 $1 011 $a 1017-1398 $e 1572-9265 $1 200 1 $a Numerical Algorithms $v Roč. 27, - (2001), s. 189-213 $1 210 $c Springer 610 1-
$a system of linear algebraic equations 610 1-
$a iterative method 610 1-
$a Krylov space method 610 1-
$a conjugate gradient method 610 1-
$a biconjugate gradient method 610 1-
$a CG 610 1-
$a CGNE 610 1-
$a CGNR 610 1-
$a CGS 610 1-
$a FOM 610 1-
$a GMRes 610 1-
$a QMR 610 1-
$a TFQMR 610 1-
$a residual smoothing 610 1-
$a MR smoothing 610 1-
$a QMR smoothing 700 -1
$3 cav_un_auth*0207700 $a Gutknecht $b M. H. $y CH $4 070 701 -1
$3 cav_un_auth*0100819 $a Rozložník $b Miroslav $p UIVT-O $w Department of Computational Mathematics $4 070 $T Ústav informatiky AV ČR, v. v. i.
Number of the records: 1